We're a fast-moving, early-stage startup operating in the AI-powered talent acquisition space, and we're hiring AI Engineers to tackle two of our most critical technical challenges: scaling our backend infrastructure and optimizing the LLM and AI agent flows that power our core product. You'll join a small, high-agency engineering team where your work has direct and immediate impact on platform performance and user experience.
We're looking to bring on 1–2 exceptionally strong, startup-motivated engineers who are passionate about building reliable, production-grade AI systems.
Take full ownership of backend scalability — design, build, and maintain services and systems that perform reliably at scale.
Tune, iterate on, and optimize LLM integrations and AI agent orchestration pipelines to improve reliability, efficiency, and output quality.
Collaborate closely with a fast-moving team, shipping meaningfully and often.
Contribute to shaping engineering culture and technical direction as an early team member.
Requirements (dealbreakers):
Based in Stockholm, or legally eligible to work and willing to relocate to Stockholm — no visa sponsorship available.
5+ years of backend software engineering experience delivering scalable production systems.
Hands-on experience integrating LLMs and optimizing AI agent workflows in live production environments.
Required skills & experience:
Strong backend engineering fundamentals — you've built systems that scale and you've felt the pain of when they don't.
Practical experience shipping AI-driven features in production; you understand the nuances of LLM reliability and performance tuning.
Startup experience — you're comfortable with ambiguity, own your work end-to-end, and move fast without waiting for permission.
Nice to have:
A strong portfolio of side projects that demonstrates technical depth and sustained curiosity.
Experience building AI-driven features in a consumer or marketplace product context.
Background in fast-growing early-stage startups (pre-seed through Series A/B).
We value demonstrated ownership and high agency over formal credentials. A track record of consistently shipping software over time matters more to us than where you studied.
Salary: $80,000 – $120,000 USD (with flexibility for exceptionally senior candidates)
Equity: Included; salary/equity mix is negotiable
Stockholm, Sweden — on-site
Candidates must be eligible to work in Sweden; visa sponsorship is not available
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Posted: 2026-08-04
This is a rare opportunity to join a fast-growing AI-powered content and brand visibility platform as one of the first commercial hires — working directly alongside the CEO across sales, operations, and company building. The company operates in the emerging space of Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO), helping brands appear in AI-generated responses on platforms such as ChatGPT, Perplexity, and Google AI Overviews. The business already serves 40+ clients across 14+ industries and is backed by leading startup programmes including Google Cloud for Startups and Microsoft Founders Hub.
This role is ideal for someone early in their career who is hungry to learn, comfortable operating with ambiguity, and excited by the intersection of AI technology and go-to-market execution.
Partner directly with the CEO on day-to-day sales activity — from prospecting and outreach to closing deals and managing relationships
Own and grow pipeline, contributing directly to revenue targets and business development initiatives
Support the design and execution of scalable sales processes and commercial operations
Assist with company-building activities including hiring, partnerships, and strategic projects as the team scales
Work cross-functionally across sales, marketing, product, and operations — acting as a force multiplier for the founding team
Represent the company externally with prospects, partners, and clients
Required:
1–2 years of full-time work experience (post-graduation)
Proven customer-facing sales or business development experience with a demonstrable track record in pipeline growth or revenue contribution
Background in a consultancy (e.g. strategy, management consulting) or a high-growth startup strongly preferred
Ability and willingness to work closely with a founder/CEO and take ownership across a broad remit
Strong cross-functional collaboration skills — comfortable context-switching between commercial and operational work
Fluent in German and English (professional level)
Nice to have:
Exposure to AI, SaaS, or content/marketing technology
Experience at firms such as Capgemini Invent, BCG, EY-Parthenon, PwC, or similar strategy/consulting backgrounds
Familiarity with go-to-market motions in early-stage B2B environments
Dealbreaker: Candidates must be willing and able to work on-site in Munich or Hamburg (relocation supported where applicable). This role is not available remotely.
Total compensation: up to €130,000 (inclusive of sales-related variable component)
Equity: 0.5–1% (significant early-stage upside)
Direct mentorship and day-to-day collaboration with the CEO
High-autonomy, high-impact role at a company with strong early commercial traction
Please note: visa sponsorship is not available for this position.
Based in Munich or Hamburg, Germany. On-site presence is required. The team is split across both cities, and both are active hiring locations.
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Posted: 2026-08-04
A fast-growing, seed-stage AI company in Munich is hiring a Founding People & Talent Lead to build the Talent and People function from the ground up. This is a high-impact, hands-on founding role working directly with company leadership to solve one of the most critical scaling challenges in a high-growth AI enterprise software business targeting a large, underserved market in the DACH region and beyond.
You'll own end-to-end recruiting while progressively shaping how the company onboards, develops, and retains exceptional people. If you thrive in high-agency environments, enjoy building systems from scratch, and want to grow into a broader People leadership role, this is for you.
Build and own the full hiring engine — leading recruiting end-to-end from role definition through sourcing, assessment, and closing offers.
Spend the majority of your early time on Talent, sourcing and closing exceptional candidates across all functions.
Design and scale recruiting processes, analytics, workflows, and operating rhythms that enable fast, high-quality hiring.
Partner with founders and team leads to define role expectations, calibrate hiring decisions, and challenge org design.
Build out People systems over time — including onboarding, performance calibration, career progression frameworks, and compensation benchmarking.
Develop and own employer branding to attract top talent across the DACH region and internationally.
Build and nurture a talent network across universities, startups, and technical communities.
Leverage AI tools and experiment with new workflows to increase recruiting velocity and quality.
Uphold a high bar for hiring excellence and maintain standards as the team scales.
Contribute actively to company culture, hiring for long-term retention and growth.
Required:
2–5 years of experience with meaningful time in Talent, People, or org development at a high-growth startup or scaleup.
Demonstrated experience leading end-to-end recruitment across all functions (role definition, sourcing, assessment, closing) in a high-growth environment — ideally through a hypergrowth phase (e.g., 10→50 or 30→100 people).
Proven ability to build scalable recruiting systems, processes, workflows, and analytics independently.
Strong storytelling and relationship-building skills with a track record of sourcing and closing senior candidates.
Daily use of AI tools and a genuine curiosity to experiment with new recruiting workflows.
Ability to build employer branding and a talent network to attract top candidates in the DACH region and beyond.
Fluency in English.
Comfort with ambiguity, high agency, and on-site work in Munich.
Nice to Have:
German language skills (a meaningful plus for this market).
Experience with performance calibration and compensation benchmarking as part of scaling People operations.
Background in enterprise software, AI, or B2B SaaS environments.
This role is based on-site in Munich, Germany. Candidates must be willing to work from the Munich office full-time. Visa sponsorship is not available — candidates must already have the right to work in Germany.
Compensation details were not specified for this role. You will be joining as a founding team member at a well-funded seed-stage company (Series A/B pipeline), with the opportunity to grow into a senior People leadership position as the company scales.
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Posted: 2026-08-04
Join a fast-moving, early-stage logistics technology startup as a Founding Engineer and help build the AI platform that is making global freight forwarding autonomous. As one of the first engineers, you will own critical architecture decisions, ship full-stack features end-to-end, and push the boundaries of applied AI in a production environment — all while working closely with the founding team in Munich.
This is a high-ownership, high-impact role suited to someone with a founder mentality who thrives in ambiguity and wants to shape the technical DNA of a company from the ground up.
Own the design, development, and maintenance of the most critical parts of the core product.
Build reliable, scalable full-stack features that make users radically more efficient.
Evaluate, benchmark, and fine-tune AI/ML capabilities to maximise domain accuracy and context.
Continuously experiment with new model releases, frameworks, and agentic techniques in production.
Ship promising approaches quickly and iterate based on data and real user feedback.
Navigate and improve large-scale, complex legacy codebases, adding structure and scalability.
Engineer infrastructure and automation pipelines to support heavy data and AI workloads.
Collaborate directly with founders and teammates as a hands-on, high-ownership contributor.
Required:
2–3+ years of professional software development experience (strong personal projects or an entrepreneurial track record may substitute).
Strong proficiency in Python; familiarity with Go is a significant plus.
Solid full-stack engineering skills with the ability to move fluidly across backend and cloud environments.
Hands-on production experience with AI/ML systems: benchmarking, fine-tuning, integrating LLMs, and running experiments in live environments.
Experience designing and maintaining production-grade systems with clean, scalable architecture.
Proven end-to-end ownership of features from initial design through to production deployment.
Experience building cloud-scale systems with a focus on scalability, reliability, and observability.
Strong CS fundamentals, intellectual humility, and exceptional self-discipline.
Founder-level drive, adaptability, and a results-oriented, autonomous work style.
Based in Munich or willing to relocate and work on-site.
Nice to Have:
Prior startup or entrepreneurial experience.
Experience or genuine interest in logistics, freight forwarding, or autonomous systems.
Salary: €60,000 – €80,000 per year
Equity: Meaningful early-employee options package (up to ~1.5%)
Opportunity to define and own the technical direction of a product with real market traction
Please note: visa sponsorship is not available for this role.
This is a fully on-site role based in Munich, Bavaria, Germany. Candidates must be able to commute to or relocate to Munich.
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Posted: 2026-08-04
Join a fast-growing AI-powered B2B SaaS company operating in the construction-tech sector, with a global footprint spanning over 100 countries. The business helps sales organisations in the construction industry identify high-value project opportunities earlier and win more deals through a proprietary Revenue Engineering platform.
As a Customer Success Manager, you will act as a strategic Value Engineer for a portfolio of B2B clients — owning the full customer lifecycle from onboarding through renewal and expansion. You will be the bridge between customer outcomes and internal product, sales, and operations teams, driving measurable commercial impact and long-term retention.
Lead client onboarding and kick-off programmes designed to deliver fast, measurable time-to-value.
Drive product adoption across your portfolio by translating customer needs into scalable best practices.
Own commercial outcomes including renewals, upsells, and proactive churn mitigation.
Build trusted, outcome-focused relationships with key decision-makers and senior stakeholders.
Plan and deliver enablement sessions, trainings, and on-site workshops to raise customer operational excellence.
Lead regular business reviews leveraging usage, pipeline, and performance data to surface risks and growth opportunities.
Advocate customer needs internally and collaborate closely with the Product team to improve adoption and retention.
Identify and develop AI-driven opportunities to accelerate customer value delivery.
Contribute to CS playbooks and scalable processes that improve retention and Net Revenue Retention (NRR).
Required:
2–3 years of Customer Success or Customer Success Management experience in a B2B SaaS environment, or equivalent strategic consulting/advisory experience.
Demonstrated track record of driving retention, renewals, and commercial expansion within a customer portfolio.
Strong consultative mindset — able to translate high-level strategy into practical, operational use cases for clients.
Fluency in both German and English (written and spoken) is essential.
Comfortable working with revenue-focused metrics and modern sales organisations.
Data-driven approach: able to use insights and performance data to articulate and demonstrate measurable customer value.
Excellent communication and presentation skills; strong relationship-building and diplomatic presence.
Willingness and ability to travel for customer workshops and on-site onboarding engagements.
Nice to Have:
Familiarity with AI/ML industry context and SaaS product lifecycles.
Experience in revenue engineering or revenue optimisation within a customer success function.
This is an on-site role based in Munich, Bavaria, Germany. Some travel is expected for client workshops and on-site onboarding sessions. Visa sponsorship is not available for this position.
Work at the intersection of AI, SaaS, and a tangible industry vertical with real commercial impact.
Join a ~100-person, internationally active team with a collaborative and outcome-driven culture.
High ownership and visibility — your work directly influences retention, expansion, and product direction.
Opportunity to shape and scale CS processes at an early-stage growth company.
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Posted: 2026-08-04
This is a hands-on ML engineering role at the frontier of agentic AI for scientific discovery. You'll build systems that reason, plan, and act inside real materials discovery workflows — turning predictive models into reliable, operational decision-making agents that work directly with physical experiments and laboratory automation. You'll sit at the intersection of AI research, software engineering, and lab science, embedding autonomy, safety, and observability into end-to-end discovery pipelines.
The company is a seed-stage deeptech startup operating in the AI-driven materials acceleration and cleantech space, with a small but highly experienced team and institutional backing. This is an on-site role based in Berlin, Germany. Right to work in Germany without employer visa sponsorship is required.
Design and implement agentic systems that plan, reason, and act across materials discovery workflows involving experiments, simulations, and scientific datasets.
Build decision-making systems that select next actions under uncertainty and encode when autonomy should act versus when humans should stay in the loop.
Implement planning, control logic, and uncertainty-aware decision-making tailored to physical systems and experimental constraints.
Encode operational, experimental, and safety constraints directly into agent behavior; define stopping criteria, fallback strategies, and recovery mechanisms to prevent brittle behavior.
Collaborate with AI researchers to embed predictive models into agent workflows and translate model outputs into executable real-world actions.
Integrate agents with laboratory automation and software systems so decisions translate into physical outcomes.
Instrument agents with logging, monitoring, and diagnostics to ensure observability and support debugging.
Build evaluation frameworks that assess decision quality, learning efficiency, and overall system behavior — going beyond model accuracy alone.
Analyze failure cases and iterate on system design based on real-world operational outcomes.
Own systems end-to-end: from prototype through production deployment and ongoing operation.
Required:
4–8 years of hands-on ML engineering experience, preferably with autonomous agents or decision-making systems in production or applied research settings.
Demonstrated experience designing and implementing agent-based systems for real-world workflows, including planning, action selection under uncertainty, and defined stopping/fallback/recovery logic.
Strong track record delivering production-grade ML systems with an emphasis on observability, logging, monitoring, and diagnostics.
Experience integrating ML/AI models with lab automation, scientific instrumentation, or hardware/software systems.
Proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow, or JAX), plus strong data tooling skills (NumPy, SciPy, etc.).
Background in scientific or structured data modeling — rather than language-model-first systems.
Knowledge of safety constraints and safety-aware validation practices for autonomous decision-making in physical environments.
Strong cross-functional communication skills; comfortable working across AI research, engineering, and laboratory teams.
English fluency (additional language skills are a plus).
Right to work in Germany without employer sponsorship — visa sponsorship is not available for this role.
Nice to Have:
Experience in materials science, chemistry, or adjacent physical sciences domains.
Background in probabilistic reasoning, Bayesian optimization, or active learning.
Familiarity with reinforcement learning, model-based planning, or control theory.
Additional European language skills.
This is a full-time, on-site position in Berlin, Germany. Candidates must have the right to work in Germany; visa sponsorship is not provided.
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Posted: 2026-08-04
A seed-stage deeptech startup at the intersection of AI-driven material discovery and climate technology is looking for a Business Development Manager to translate cutting-edge scientific capability into real commercial impact. You will own customer relationships, drive sales strategy, and coordinate cross-functional delivery — working closely with senior leadership to operationalize growth and scale repeatable commercial processes. This is an on-site role based in Berlin, Germany.
The company builds an advanced materials acceleration platform that combines physics-informed AI, robotics, and large-scale experimental data to dramatically compress R&D timelines in the energy and cleantech sectors. The team includes alumni of organizations such as BASF, Siemens, Climeworks, and Lawrence Berkeley National Laboratory.
Please note: visa sponsorship is not available for this role.
Bridge science and market needs to deliver scalable climate impact across a growing customer base.
Collaborate with the VP of Commercial and senior leadership to operationalize and scale commercial efforts.
Act as the primary connection between customers and internal teams, developing projects from initial scope through to signed agreement.
Drive strategic sales efforts by researching and pursuing key commercial opportunities.
Track pipeline movement and maintain a high-quality CRM overview with relevant reporting and analytics.
Build and refine BD workflows, templates, and documentation to scale repeatable success.
Identify customer needs, qualify inbound and outbound leads, and coordinate lead qualification across the team.
Own post-deal activities, supporting partner onboarding and early-stage execution of new partnerships.
Serve as the main point of contact to manage and deepen client relationships over time.
Coordinate with technical and operations teams to ensure aligned, timely delivery on partner commitments.
Identify upsell and expansion opportunities within existing accounts and new contacts.
Represent the company at international exhibitions, trade fairs, and conferences, including delivering techno-commercial presentations.
Required:
3–5 years of experience in international business development, account management, or technical sales — ideally in deep tech, advanced materials, or climate-related sectors.
Demonstrated success in commercializing scientific or technical capabilities and translating them into tangible commercial outcomes.
Proficiency with CRM systems and pipeline management tools (e.g., Salesforce or similar).
Proven ability to coordinate cross-functional delivery between sales, technical, and operations teams.
Experience building BD workflows, templates, and documentation to support scalable, repeatable processes.
Willingness and ability to travel internationally for client meetings and industry events.
Fluency in both English and German; additional European languages are a plus.
Excellent written and verbal communication skills across internal and external stakeholders.
Strong organizational skills, attention to detail, and consistent follow-through.
Comfortable navigating ambiguity and moving quickly in an early-stage startup environment.
Genuine interest in climate technology and science-driven innovation.
Nice to Have:
Graduate-level education (MSc or PhD) in materials science, chemistry, physics, chemical engineering, or a closely related field — or an equivalent strong scientific background.
This is a full-time, on-site position based in Berlin, Germany. Frequent international travel is expected as part of the role. Visa sponsorship is not available.
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Posted: 2026-08-04
We're a fast-growing, AI-native B2B SaaS startup building intelligent customer support tooling for technical teams — think automated complex ticket resolution, AI copilot for agents, and deep integrations with tools like Zendesk, Jira, and Slack. Our small but high-conviction team (under 15 people) is looking for a Founder's Associate (GTM/Sales) to sit at the very front of our go-to-market motion.
You'll work directly alongside the CEO, helping shape and execute our GTM strategy from the ground up. This is a high-ownership, high-impact role — not a support role. If you love the thrill of early outbound, sharp discovery conversations, and building AI-native sales processes, this is for you.
On-site in Munich, Germany is required. Visa sponsorship is not available.
Own frontline outreach — craft smart outbound campaigns and reach out to the right prospects via email, LinkedIn, and phone to book discovery calls.
Generate and qualify lead lists; identify and prioritise high-potential accounts.
Lead and participate in discovery calls, establish shared communication channels, and guide qualified leads into the trial experience.
Experiment with new growth and outbound channels, taking full ownership of what you test.
Track every step of the pipeline meticulously and continuously improve conversion rates.
Leverage AI tools to the maximum extent across all responsibilities — and help build genuinely AI-native internal workflows alongside the team.
Partner closely with the CEO to iterate on GTM strategy based on real market signals.
Must-haves (dealbreakers if missing):
Native-level fluency in German — non-negotiable for this role.
Hands-on experience with CRM tools and outbound sales workflows, including accurate pipeline tracking and reporting.
Proven experience crafting and executing outbound campaigns (email, LinkedIn, cold calls) and leading discovery calls.
Experience with GTM strategy development and execution in a startup environment.
Located in Munich or genuinely willing to relocate; fully on-site role.
Strong ownership mindset — you take responsibility for your work and its outcomes.
Comfort using AI and LLMs in day-to-day workflows; you don't just dabble, you actively explore what's possible.
Thrives in small, high-accountability teams where everyone wears multiple hats.
Nice to have:
Experience at a B2B SaaS, AI, or customer support software company (e.g. Intercom, Freshworks, Zendesk, Gorgias, or similar).
Track record of impressive results — from past roles or even side projects — that you're excited to talk about.
A habit of continuously pushing to improve your work and its impact.
Location: Munich, Germany (on-site)
Remote: Not available for this role
Visa sponsorship: Not available
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Posted: 2026-08-04
We are a growing company looking for a motivated individual to join our team in a foundational capacity. This is an excellent opportunity for someone eager to contribute across a variety of tasks and grow within a dynamic environment.
Perform backfill and test tasks as assigned, supporting team operations and continuity.
Collaborate with team members across functions to ensure smooth workflows.
Identify opportunities for process improvement and contribute proactively.
Adapt to evolving priorities and take on new responsibilities as the role develops.
Eligibility to work in the United States without visa sponsorship.
A willingness to learn and take on backfill and test-related responsibilities.
Strong adaptability and a positive, team-oriented attitude.
Ability to manage tasks independently and communicate progress clearly.
Compensation details will be discussed during the interview process. We are committed to offering a competitive package commensurate with experience and skills.
This role is based in San Francisco, CA, with additional openings available in Los Angeles, CA and New York City, NY. Candidates must be eligible to work in the United States. Visa sponsorship is not available for this position.
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Posted: 2026-08-04
We are a growing company looking to add a motivated individual to our team in this role. This is an exciting opportunity to contribute meaningfully from day one in a collaborative and fast-paced environment.
Contribute to key team initiatives and projects relevant to this role.
Collaborate cross-functionally with teammates to drive outcomes.
Learn and grow within the organization, taking on increasing responsibility over time.
Legal eligibility to work in the United States without visa sponsorship — visa sponsorship is not available for this role.
A proactive, detail-oriented approach to work.
Strong communication and collaboration skills.
Compensation details will be discussed during the interview process. We are committed to offering a competitive package commensurate with experience.
This role is based primarily in San Francisco, CA. Additional locations include Los Angeles, CA and New York City, NY. This is an on-site or hybrid position.
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Posted: 2026-08-04
We are a growing MarTech consultancy and certified Salesforce implementation partner serving clients across banking, healthcare, insurance, and retail. Our team of seasoned technologists delivers end-to-end CRM, marketing automation, and data solutions — and we're looking for a Resident Solution Architect (Databricks) to join us.
In this role, you'll be a trusted technical leader who bridges strategy and execution — designing scalable architectures, guiding clients through complex data platform decisions, and collaborating across cross-functional teams to drive measurable outcomes.
Design and deliver end-to-end solution architectures with a focus on Databricks and modern data platforms
Lead technical discovery and architecture discussions with clients, translating complex trade-offs into clear, actionable recommendations for non-technical stakeholders
Serve as the primary technical point of contact for client engagements, ensuring solutions align with business goals and compliance requirements (e.g., HIPAA, SOX where applicable)
Collaborate with delivery teams to ensure architectural integrity throughout implementation
Contribute to internal best practices, reference architectures, and knowledge-sharing initiatives
Support pre-sales and scoping activities by providing architectural guidance and effort estimates
Required:
Hands-on experience designing and delivering end-to-end solution architectures
Demonstrated expertise with Databricks (e.g., Unity Catalog, Delta Lake, Databricks SQL, MLflow, or Databricks Workflows)
Ability to communicate architectural concepts and trade-offs clearly to non-technical stakeholders
Proven track record of leading technical discussions with clients and cross-functional teams
Experience working in or with consulting, professional services, or client-facing environments
Nice to Have:
Background in MarTech, CRM, or data cloud ecosystems (e.g., Salesforce Data Cloud, CDP platforms)
Familiarity with cloud platforms (AWS, Azure, or GCP) and data lakehouse patterns
Experience in regulated industries such as healthcare, financial services, or insurance
Prior experience at a large systems integrator or management consultancy
Competitive compensation (details shared during the interview process)
Flexible engagement model with US-based team
Work with a high-caliber team and marquee enterprise clients
Please note: Visa sponsorship is not available for this role.
This role is open to candidates based in the United States. Work arrangement details will be discussed during the hiring process.
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Posted: 2026-08-04
We're a small, ambitious deeptech startup at the intersection of AI, robotics, and materials science — working on technology that could meaningfully accelerate energy innovation. Our Berlin-based team of scientists, engineers, and operators moves fast and cares deeply about the work.
We're looking for a Culture and Community Manager to own the intentional design of our team culture from the ground up. This is a high-agency, high-impact role for someone who thrives at the intersection of people, operations, and creativity — someone who can build trusted relationships across a technically diverse team, spot problems early, and make everyday work feel more connected and energizing.
This is an on-site role based in Berlin, Germany. Visa sponsorship is not available.
Design and run weekly rituals, team socials, monthly activities, celebrations, and quarterly offsites that feel authentic rather than forced.
Make all-hands and collective meetings more energetic, interactive, and participatory.
Build trusted relationships across the company and maintain a continuous pulse on team sentiment — noticing disengagement or frustration early and responding proactively.
Review regular team updates to surface recurring themes, tone changes, or unmet needs, and follow through with action.
Source and reach out to candidates via LinkedIn, communities, referrals, and other creative channels; screen for motivation, values, and cultural contribution.
Support interview coordination and own a warm, consistent candidate experience.
Maintain lightweight people-ops: onboarding experiences, trackers, follow-ups, and internal documentation.
Take ownership of practical, people-facing problems that lack a clear owner — build workable solutions without waiting for a full playbook.
Coordinate across founders, employees, vendors, and external partners with reliable attention to detail.
Required:
Experience in community management, people operations, employee experience, recruiting, events, hospitality, startup ops, or a closely related field.
Proven ability to design, plan, and execute team events — from weekly rituals to offsites — including logistics, vendor management, scheduling, and budgeting.
Experience sourcing and screening candidates and coordinating interview processes.
Excellent written and verbal communication; able to translate values into everyday behaviors and give founders honest, practical views of team sentiment.
Strong organizational skills — comfortable maintaining trackers, documentation, and follow-up systems.
High emotional intelligence: skilled at sensitive conversations, rallying reluctant participants, and building trust across technically diverse teams (scientists, engineers, and beyond).
Startup mindset: high agency, low ego, comfort operating without detailed playbooks, and willingness to do both visible and unglamorous work.
Willingness to travel for quarterly offsites and occasional events.
Nice to Have:
AI-native curiosity: you experiment with AI tools, build workflows, write prompts, or create lightweight automations to make your work faster (engineering skills are not required).
Prior experience at a startup or in a deeply technical environment (e.g., working alongside scientists or engineers).
This is a full-time, on-site position based in Berlin, Germany. You'll be a daily presence in the office — central to how the team experiences its culture. Occasional travel is required for quarterly offsites and events. Visa sponsorship is not available for this role.
Compensation details will be discussed during the interview process. You'll be joining a well-funded seed-stage company backed by established European and international investors, with meaningful opportunities for growth as the team scales.
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Posted: 2026-08-04
Join a well-funded deeptech startup at the intersection of AI, robotics, and materials science. This infrastructure engineering role sits at the heart of an autonomous laboratory platform — the coordination layer between scientific intent and physical execution. Your work will directly shape how scientists and engineers discover new materials, with reliability, observability, and usability treated as first-class product priorities.
The company is an early-stage, seed-funded AI-driven materials discovery platform operating in the cleantech and deep science space, with a team of researchers, engineers, and roboticists working toward dramatically accelerating R&D timelines in the energy and manufacturing sectors.
Build and maintain backend services in Python (FastAPI, Pydantic) to orchestrate real scientific workflows.
Develop data pipelines that convert raw experimental output into actionable signals.
Create internal dashboards and interfaces (React, TypeScript, Tailwind, Streamlit) used daily by scientists and engineers.
Maintain containerized environments and CI/CD pipelines to keep systems running smoothly.
Improve observability so teams understand system state proactively — before users report issues.
Drive reliability improvements grounded in real failure modes and production experience.
Support job orchestration and ML systems, including integration with SLURM-based simulation clusters.
Treat infrastructure as a product that directly affects scientific productivity and discovery outcomes.
Required:
2–5 years of software engineering experience with strong Python fundamentals.
Practical experience building backend services, preferably with FastAPI and Pydantic.
Experience with containerized applications and DevOps practices (Docker, Kubernetes, CI/CD).
Ability to build and maintain data pipelines transforming raw experimental or data-intensive outputs.
Experience building dashboards and interfaces for technical or scientific users (React, TypeScript, Tailwind, or Streamlit).
Familiarity with SLURM-based job orchestration or HPC/simulation cluster integration.
Strong emphasis on observability, monitoring, and production-grade reliability.
Clear, direct communication skills and a habit of writing clean, maintainable code.
Authorization to work in Germany without visa sponsorship (sponsorship is not available).
English fluency; additional languages are a plus.
Nice to Have:
Exposure to scientific computing, ML infrastructure, or data-intensive systems.
Comfort working across the full stack and willingness to dig into unfamiliar territory.
Background in or familiarity with chemistry, materials science, or life sciences environments.
This is a full-time, on-site role based in Berlin, Germany. Candidates must be based in or willing to relocate to Berlin. Visa sponsorship is not available — applicants must have existing authorization to work in Germany.
Compensation details were not specified in this posting. You can expect a competitive package in line with early-stage deeptech startups at the seed stage, including equity participation.
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Posted: 2026-08-04
A fast-growing, seed-stage conversational AI SaaS company is looking for a Head of Marketing to own and scale its entire marketing engine — from strategy and budget through to hands-on execution. This is a foundational role at a company that automates customer call operations for B2C businesses, handling sales, support, and operational workflows via intelligent AI voice agents.
You'll translate a highly technical product into compelling positioning, build a repeatable AI-first growth motion, and generate measurable pipeline. As the company expands into the UK and US markets, you'll be a key strategic voice while remaining operationally involved from day one. This role is based on-site in Berlin, Germany. Visa sponsorship is not available.
Own marketing end-to-end — full strategic and operational responsibility including budget ownership and reporting on pipeline impact.
Define positioning, messaging, and content that make a technical product memorable and conversion-focused.
Set strategy, priorities, and KPIs across all channels; report regularly on performance and business impact.
Build and run a growth playbook that prioritises AI and automation to scale inbound across organic and paid channels.
Plan and execute go-to-market launches for new segments and geographies, including UK and US expansion.
Continuously test new channels using structured experiments and data-driven decision-making.
Operate hands-on initially, then hire and scale a high-performing marketing team as the business grows.
Manage vendor and agency relationships and oversee the annual marketing budget.
Collaborate closely with product, sales, design, and executive leadership to align on messaging and campaigns.
Required:
5+ years of marketing leadership experience, ideally including an early-stage or high-growth environment where you owned the function.
Proven track record of translating technical products into clear, compelling positioning and storytelling.
Strong hands-on growth experience across organic and paid channels with measurable results.
Experience developing and executing comprehensive multi-channel strategies (digital, content, social, email).
Data-driven mindset — proficient with marketing analytics tools (e.g., Google Analytics / GA4) and experienced in running structured experiments and tracking KPIs.
Proficiency with marketing automation and CRM platforms (e.g., HubSpot, Salesforce).
Experience managing an annual marketing budget and overseeing vendor/agency relationships.
Deep familiarity with AI and automation tools applied to marketing workflows.
Fluent in both English and German (written and verbal).
Bachelor's degree in Marketing, Business, Communications, or a related field.
Nice to Have:
Background in B2B SaaS or AI/voice technology marketing.
Experience building and leading teams while remaining operationally hands-on.
Prior exposure to UK or US market expansion.
Salary: $75,000 – $120,000 annually (USD equivalent)
Opportunity to shape the marketing function from the ground up at a well-funded, high-trajectory startup
Backed by leading early-stage investors (Y Combinator and top-tier European VCs)
Collaborative, high-ownership culture with direct impact on company growth
This role is on-site in Berlin, Germany. Candidates must be willing and able to work from the Berlin office. Visa sponsorship is not available — applicants must have the right to work in Germany.
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Posted: 2026-08-04
This is not a classic ops internship. We don't want someone who manages operations — we want someone who automates them away. You'll report directly to a founder and own real parts of the business from day one: no slide decks, no shadow work, no coffee runs. If something is broken, you fix it. If something is manual, you kill it.
This is a 3–6 month paid internship with a clear path to convert into a full-time Operations role for the right person. We're a pre-seed healthtech startup building a personalized preventive health platform — biomarker testing, clinician-reviewed insights, and concierge support for members across Europe.
Own the customer experience end-to-end: onboarding, blood draw scheduling, results delivery, and retention
Coordinate multi-stakeholder partnerships across Europe — lab partners, phlebotomy clinics, and supplement manufacturers
Build and maintain internal ops tooling and automation workflows using n8n, Make, Zapier, Notion, Linear, and Airtable
Write Python scripts to eliminate repetitive manual work
Design and scale operational playbooks so we can grow to 10× the customers without 10× the headcount
Identify process gaps and drive fixes independently, with speed and low overhead
Hard requirements (dealbreakers):
Native German proficiency — you will communicate daily with German clinics, partners, and customers
Fluent English (written and spoken)
Eligible to work in Germany; visa sponsorship is not available
Able to work on-site in Berlin, Monday–Friday (in-person presence required)
Required skills & experience:
0–2 years of experience in operations, logistics, or a related field
Pursuing or recently graduated from a rigorous program (engineering, business, life sciences, or computer science)
Hands-on experience with workflow automation tools (n8n, Zapier, Make) and Python scripting
Experience building internal tooling with Notion, Linear, and/or Airtable
Experience coordinating complex, multi-party partnerships — ideally across European markets
Proven track record of owning customer experience end-to-end
Owner mindset: fast execution, comfort with ambiguity, and a bias toward action
Genuine enthusiasm for preventive health and longevity
Salary: €30,000–€36,000 annually (internship rate; full-time compensation reviewed upon conversion)
Internship duration: 3–6 months with a defined full-time conversion path
Direct exposure to founding-team decision-making and real ownership from day one
Berlin, Germany — fully on-site, Monday through Friday
Remote work is not available for this role
Visa sponsorship is not provided
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Posted: 2026-08-04
This is a rare opportunity to join a fast-growing, Y Combinator–backed conversational AI startup as their founding Sales Development Representative on the Growth team in Berlin. You'll own pipeline generation for a voice AI platform that automates customer call operations for B2C companies — a product with strong, proven market demand.
You won't just be executing a playbook — you'll be helping to write it. This role is built for someone hungry to move fast, do meaningful work, and grow into full-cycle deal ownership within as little as six months.
Generate qualified pipeline to help 10x revenue over the next year
Identify the right prospects and engage them across multiple channels — email, LinkedIn, and phone
Build and manage relationships with customers from first touch through handoff
Manage pipeline and maintain CRM tooling with discipline and accuracy
Shape the GTM motion, build a repeatable sales process, and refine outreach strategies
Contribute to hiring and building out the sales team and sales playbook
Develop into owning and closing deals end-to-end after demonstrating strong performance
Required:
2+ years in SDR, BDR, or sales roles delivering qualified pipeline in a startup or fast-moving environment — this is a dealbreaker requirement
Proven track record of consistently exceeding targets or KPIs in sales roles
Hands-on experience with multi-channel outbound outreach (email, LinkedIn, phone) and CRM pipeline management — dealbreaker
Strong business sense to understand the problems and needs of different companies
Experience identifying the right prospects, engaging them, and building lasting customer relationships
Willingness to do unglamorous, high-impact work with a scrappy, ownership mindset
Openness to growing into full-cycle deal ownership as you demonstrate performance
Fluent German (C2 / near-native) and strong English (B2–C1) — dealbreaker
Based in Berlin and willing to work on-site five days a week — dealbreaker
Nice to Have:
Prior experience shaping GTM motions or building repeatable sales processes from scratch
Exposure to AI, voice technology, or SaaS products with enterprise or B2C use cases
Not a fit if you: lack direct sales experience, prefer remote or minimally collaborative environments, avoid direct customer interaction, or are looking for a purely strategic role.
Salary range: $75,000 – $120,000 USD annually
Opportunity to grow into a full-cycle Account Executive role rapidly
Work at the early stage of a well-funded, high-growth AI startup with significant upside
Visa sponsorship is not available for this role.
This is a fully on-site role based in Berlin, Germany. Candidates must be located in Berlin or able to commute on-site five days a week. Remote work is not available.
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Posted: 2026-08-04
A fast-moving, Y Combinator–backed AI-native CRM startup in Stockholm is hiring a Technical Chief of Staff to work directly alongside the founding team. This is a high-impact, on-site role designed for someone who thrives in an early-growth environment, brings strong technical judgment, and is energized by cross-functional execution at speed.
This role is an exceptional launchpad for future founders — you'll have direct exposure to product strategy, go-to-market execution, and operational decision-making from day one. The company is building an AI-native productivity platform for sales and customer-facing teams, automating the messy parts of CRM so teams can focus entirely on their customers.
Partner directly with the founders across product, go-to-market, and operations as a trusted strategic and executional counterpart.
Coordinate cross-functional initiatives, aligning priorities and driving execution across teams.
Translate high-level strategic goals into concrete plans and track delivery against tight deadlines.
Support founder decision-making by providing technical context, project-level insights, and clear recommendations.
Own high-impact projects end-to-end — identifying what moves the needle and making it happen.
Operate effectively in a fast-paced, high-pressure environment, adapting fluidly as priorities evolve.
Required:
Strong technical background with solid CS fundamentals — computer science training or equivalent hands-on experience.
Demonstrated ability to coordinate cross-functional initiatives and work closely with executive stakeholders.
Strong product mindset with the ability to contribute meaningfully to product strategy and decisions.
Excellent written and verbal communication skills; able to articulate strategy clearly to diverse audiences.
High ownership mentality — comfortable driving initiatives forward through ambiguity with minimal direction.
Prior startup experience or meaningful exposure to fast-paced, entrepreneurial environments.
Eligibility to work in Sweden and ability to work on-site in Stockholm full-time (no visa sponsorship available).
Nice to Have:
Interest in branding, design, or managing social channels.
Experience working in early-stage (seed or Series A) companies.
Salary: $55,000 – $80,000 USD per year (or local equivalent)
Equity: QESO options ranging from 0.15% – 0.50%
Early-stage equity upside with a founding-team-level role in a well-backed startup
On-site, full-time in Stockholm, Sweden
No visa sponsorship is available — candidates must already have the right to work in Sweden
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Posted: 2026-08-04
We are a fast-growing, early-stage AI startup in the enterprise software space — backed by top-tier investors including Y Combinator — building intelligent automation for sales workflows in distribution and manufacturing. We're looking for a Founding Staff Engineer to serve as the technical backbone of our small, high-velocity engineering team.
This is a hands-on leadership role for a senior engineer who loves writing and shipping production code, cares deeply about system quality, and thrives in an environment where their decisions have outsized, lasting impact. You'll work across multiple products, own the most complex engineering challenges, and directly shape the architecture and AI capabilities of the platform.
Act as the technical anchor across multiple products and development streams, owning the highest-leverage engineering work.
Spend the majority of your time writing and shipping production-quality code — leading by example, not by committee.
Define and evolve architectural decisions that prevent long-term dead-ends across products and teams.
Own core systems, shared frameworks, and critical infrastructure end-to-end.
Eliminate technical debt through disciplined refactoring and by raising reliability and engineering standards organization-wide.
Mentor engineers through code review, pairing, and direct feedback — multiplying team output and reducing hidden risk.
Contribute to the architecture and implementation of AI capabilities, including LLM pipelines and data infrastructure.
Required:
8+ years of software engineering experience with a track record of solving genuinely hard technical problems in production environments.
Deep full-stack expertise with strong backend, API, and infrastructure skills; comfortable on the frontend when needed (Python, React, TypeScript).
Proven experience designing and evolving systems across multiple products and teams.
Demonstrated ability to improve system performance, reliability, and scalability at scale.
Cloud and DevOps fluency: containerization (Docker), cloud platforms (Azure / AWS / GCP), and infrastructure as code (Terraform).
Experience working in an early-stage or founding-team environment — comfortable with ambiguity, rapid iteration, and high-paced delivery.
Proven track record of reducing technical debt and refactoring abstractions to raise coding standards across teams.
Experience mentoring engineers through code reviews, pairing, and direct feedback.
Nice to Have:
Experience building or integrating AI systems, LLMs, or large-scale data pipelines.
Familiarity with enterprise ERP/CRM integrations (e.g. SAP, Oracle).
Traits that will set you apart:
Deep technical ownership — you notice and fix slipping quality without prompting.
Mission-driven, pragmatic, and decisive under uncertainty.
A leader who leads through doing and multiplies the effectiveness of those around them.
This role is on-site in Munich, Germany. Candidates must be willing and able to work in person in Munich. Visa sponsorship is not available for this position.
Compensation details are not specified for this role. You'll be joining as a founding team member at a well-funded, seed-stage startup with significant scope, ownership, and career upside.
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Posted: 2026-08-04
A fast-growing, AI-powered EdTech startup based in Berlin is looking for a Visiting Finance Analyst to join the Finance team on a full-time, on-site basis. This is a rare opportunity for an early-career finance professional or student to work directly alongside the Director of Finance & People and company founders — with real ownership, genuine exposure to leadership, and a front-row seat to building a modern finance function from the ground up.
If you're curious, proactive, and excited about the intersection of finance and AI-driven automation, this role is for you.
Act as a right hand to the Director of Finance, preparing decision briefs, supporting cross-functional initiatives, and keeping projects on track.
Support monthly, quarterly, and annual financial close processes and coordinate with external auditors.
Contribute to accurate, reliable financial reporting across multiple jurisdictions.
Assist with operational controlling, including budget planning, financial forecasting, and liquidity tracking.
Build monthly reports, conduct ad hoc deep dives, and translate data into clear, decision-ready analysis.
Identify and implement opportunities to automate manual workflows using AI tools, low-code platforms, and smart integrations.
Help transition the finance function from static reporting to dynamic, AI-enhanced financial intelligence.
Coordinate with tax advisors, auditors, and legal providers, and collaborate cross-functionally with teams such as Growth and Engineering.
Required:
Currently studying, on a gap year, or recently graduated in business, finance, economics, or a related field.
Strong analytical mindset with solid Excel skills — able to turn messy data into clear, actionable answers.
Keen interest in AI tools and automation.
Foundational understanding of accounting principles.
Strong written and spoken German and English (both required).
Proactive, self-driven, and pragmatic — comfortable taking ownership and working closely with leadership.
Nice to Have:
Prior internship or coursework in finance, accounting, controlling, or consulting.
Familiarity with BI or low-code platforms.
Knowledge of German accounting practices (HGB) or IFRS.
Compensation details to be discussed during the hiring process.
Direct mentorship from senior leadership and founders.
Significant ownership and responsibility from day one.
Opportunity to work at a high-growth startup operating across 30+ countries.
Please note: visa sponsorship is not available for this role.
This is a fully on-site role based in Berlin, Germany. Candidates must be available to work in Berlin. No remote or hybrid arrangement is offered for this position.
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Posted: 2026-08-04
This is a rare opportunity to join a small, elite design team at a Series B AI-powered EdTech platform that reaches tens of millions of students across more than 30 countries. You'll work at the centre of a major shift toward AI-native product experiences, with direct access to C-level leadership to shape the product vision from day one. Your work will be seen — and felt — by millions of learners every day.
We're going all-in on design craft and AI-native experiences. If you believe details are the design, ship faster than you deck, and see AI as a genuine multiplier rather than a buzzword, this role is built for you.
Note: Visa sponsorship is not available for this role. On-site in Berlin, Germany.
Own entire product areas end-to-end — from conception to delivery — working directly with C-level and engineering to ship ideas to millions of students within days.
Raise the quality bar on everything students see, touch, and feel — world-class UI, motion design, and micro-interactions that set a new standard.
Build and scale a design system from the ground up — curated references, stellar components, and sharp reviews that make quality easy to replicate across the team.
Pioneer AI-native design — develop AI-assisted workflows and AI-native product experiences that change how the team researches, ideates, and ships.
Set the reference point — create UIs students want to screenshot and details they feel but can't name.
Mentor and guide more junior designers, raising the collective craft of the team.
Required:
Several years of product design experience with a portfolio that demonstrates shipped work — work that moved metrics and delighted real users (portfolio matters more than tenure).
Actively uses AI tools across the full design loop: prototyping, research, and shipping — not experimenting, multiplying.
Systems thinker who scales quality across a product, not just a pretty component library — code-first design systems, AI-powered design reviews, whatever works at speed and scale.
Proven ability to simplify complex, messy user journeys into experiences that feel obvious.
Bias toward action: prototypes over presentations, experiments over endless debate.
Experience guiding and levelling up more junior designers.
Nice to Have:
Builder mentality — bonus if you've shipped a side project end-to-end or opened a merge request.
Background in consumer apps, EdTech, or fast-paced B2C environments.
Experience at companies like Quizlet, Khan Academy, Brainly, Memrise, Chegg, or similar consumer/EdTech products.
You won't be a fit if you:
Prefer slow deliberation over fast shipping.
Are sceptical of or resistant to AI tools in your workflow.
Work best as a solo, territorial artist rather than a team-first collaborator.
Default to decks and presentations rather than prototypes and experiments.
51–200 person company, growing fast across a global student audience.
Direct feedback culture — no preciousness, no territory.
Builders who ship: ideas go from concept to millions of users in days, not quarters.
AI is central to how the product is built and how the team works.
On-site in Berlin, Germany. This is not a remote role. Visa sponsorship is not available.
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Posted: 2026-08-04
A fast-growing seed-stage biotechnology company in the nutraceuticals and food ingredients space is looking for a Technical Sales / Business Development Manager – Ingredients to drive its commercial growth phase. Following a highly successful trade show debut, this is a pivotal role that bridges the gap between an innovative R&D lab team and purchasing decision-makers at leading supplement brands and contract manufacturers.
The company develops a proprietary drug-delivery technology that dramatically improves the bioavailability, water solubility, and sensory profile of plant-based active ingredients — enabling brands to formulate more effective, natural products across nutraceuticals, food, pharma, and personal care. If you bring deep technical understanding, a passion for science-backed ingredients, and genuine sales drive, this is your opportunity to build long-term partnerships from a strong pipeline of warm leads.
Actively develop and manage a B2B sales pipeline — including lead nurturing, opportunity management, and deal closure — targeting supplement brands and contract manufacturers.
Serve as the key commercial interface between the internal lab/R&D team and external buyers, translating complex scientific concepts into compelling commercial value propositions.
Present and pitch technically sophisticated ingredient solutions in a clear, accessible way to both technical and non-technical stakeholders.
Build and maintain long-term key account relationships, acting as a trusted partner throughout the customer journey.
Collaborate cross-functionally with the science team to align customer requirements with product capabilities.
Represent the company at trade shows, industry events, and customer meetings.
Contribute to commercial strategy and business development efforts as the company scales.
Required:
Degree in a natural science or technical discipline — e.g. Food Technology, Nutritional Science, Pharmacy, Biotechnology, Chemistry, or Business with a Life Sciences focus — or equivalent qualification.
2–4 years of B2B sales, key account management, or business development experience in the ingredients, supplement, or pharmaceutical industry.
Strong communication and negotiation skills, with the ability to collaborate effectively across lab teams and procurement functions.
Demonstrated ability to translate technical/scientific products into clear commercial benefits.
Experience building and managing structured sales pipelines.
Fluent German (required for customer-facing work) and good English for international stakeholder communication.
Nice to Have:
Existing network within the supplement, nutraceutical, or specialty ingredients industry (e.g. experience at companies such as PLT Health Solutions, Sabinsa, Gencor, Indena, Natreon, AIDP, Lipofoods, Arjuna Natural, or similar).
Familiarity with bioavailability enhancement technologies or formulation science.
Experience working in an early-stage or scale-up environment.
Salary: €60,000 – €80,000 per year, depending on experience.
Opportunity to join at a pivotal commercial growth stage with significant ownership and impact.
Work with a small, expert team at the intersection of biotechnology, nutrition science, and product innovation.
On-site in Regensburg, Germany.
Visa sponsorship is not available for this role.
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Posted: 2026-08-04
We're a fast-growing, seed-stage AI startup automating inside sales processes — quoting, order handling, and product matching — for distributors and manufacturers. Our platform integrates deeply into enterprise ERP and CRM systems (including SAP and Oracle) and is trusted by a growing number of customers across industries like HVAC, electrical, and building materials.
As a Forward Deployed Engineer, you'll be the critical technical bridge between our AI product and its real-world deployment inside complex enterprise environments. You'll own the full implementation lifecycle — from sales handoff to go-live — working directly with customers every day while feeding insights back to the core engineering team. This is a high-ownership, high-impact role at the intersection of engineering, product, and customer success.
Own end-to-end technical implementation of customer deployments, from initial handoff through go-live.
Configure and fine-tune AI models for customer-specific use cases, including prompt engineering and model behavior adjustments.
Structure customer data and build system integrations with platforms like SAP and various REST/GraphQL APIs.
Interpret unstructured RFQs (PDFs, emails, Excel files) and translate them into automated quoting workflows.
Develop prototypes to demonstrate new features or solve emerging customer problems, then evolve them into scalable solutions.
Engage daily with technical users and senior business stakeholders to translate real pain points into engineering decisions.
Act as the voice of the customer internally, surfacing product gaps and patterns to the core engineering team.
Required:
Native fluency in German (non-negotiable).
Strong full-stack engineering skills — comfortable with Python, React, TypeScript, SQL, and APIs across frontend, backend, and data pipelines.
Proven experience delivering customer-facing software deployments and gathering client requirements.
Hands-on experience with system integrations: ERP systems, REST/GraphQL APIs, webhooks, or B2B SaaS implementations.
Ability to wrangle messy, inconsistent real-world data and establish reliable structures quickly.
Practical experience with LLMs, AI agents, and prompt engineering, with ability to adapt model behavior to specific domains.
Excellent written and verbal communication skills — able to explain complex technical concepts to diverse audiences.
High agency and ownership mindset; proactively identifies and drives solutions without needing explicit direction.
Comfortable with ambiguity, imperfect data, and legacy systems; scrappy and resourceful problem-solver.
Willingness to work on-site in Munich with a high-intensity work ethic.
Nice to Have:
Familiarity with AI/ML concepts and reinforcement learning, particularly product-matching engines.
Background in distribution, manufacturing, or industrial sales technology.
Salary: €90,000 – €200,000 annually, depending on experience.
Opportunity to make a direct, lasting impact at an early-stage company in a high-growth market.
Work closely with a lean, high-caliber team with backgrounds spanning top consulting firms, enterprise software, and applied research.
Munich, Germany — on-site.
Visa sponsorship is not available; candidates must have the right to work in Germany.
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Posted: 2026-08-04
We are a growing biotechnology company based in Regensburg, Germany, focused on enhancing the bioavailability and functionality of plant-based ingredients for use in nutraceuticals, food, pharmaceuticals, and personal care. With a lean team of around a dozen people, we develop and produce proprietary ingredient technologies that help brands create more effective, natural products.
We are looking for a hands-on Business Operations Manager to keep our day-to-day operations running smoothly. You will sit at the intersection of production coordination, procurement, logistics, and administration — working closely with our internal team, production partners across Europe, and global suppliers. This is a central, high-ownership role that directly supports the company's operational reliability and continuous improvement.
Ensure productions run on schedule and that materials arrive on time.
Coordinate production planning and monitor associated orders.
Oversee logistics and maintain visibility on transports and delivery timelines from factory to customer.
Manage procurement of production materials and laboratory equipment.
Serve as the primary interface to European production partners and global suppliers.
Handle administrative tasks and provide support in financial areas such as budgeting and basic accounting.
Work directly with our ~12-person internal team, management, and external logistics providers.
Continuously improve procurement and process workflows and help build operational structure from the ground up.
Required:
Completed vocational training or degree in operations, logistics, procurement, supply chain, business administration, or equivalent.
Relevant hands-on experience in operations, logistics, procurement, supply chain, or administration.
Demonstrated ability to coordinate production scheduling and manage procurement of production materials and lab equipment.
Experience managing logistics from factory to customer, including oversight of transportation timelines.
Fluent German and English — minimum C1 level in both spoken and written communication (this is a dealbreaker requirement).
Confident, proficient use of MS Office, especially Excel/spreadsheets.
Strong organizational skills with the ability to prioritize across multiple concurrent workstreams.
Solution-oriented and pragmatic mindset with a strong bias for action and ownership.
Enthusiasm for building processes and structures in an early-stage environment.
Nice to Have:
Experience with ERP or process management systems.
Background supporting budgeting and accounting processes.
Salary range: €45,000 – €65,000 per year (depending on experience).
Full-time, permanent position with flexible working hours.
Hybrid work arrangement with home office options.
30 days of vacation.
Please note: visa sponsorship is not available for this role. Candidates must already be authorized to work in Germany.
This role is based in Regensburg, Bavaria, Germany (hybrid). Candidates should be willing and able to work on-site regularly.
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Posted: 2026-08-04
This is a hands-on engineering role at the heart of a fast-growing, agentic-first tax advisory technology platform targeting the German SME market. You'll join a small, high-calibre AI & Automation team and work directly with founders and product leads to build the infrastructure that transforms how tax advisory firms operate — turning repetitive, manual processes into fast, reliable, AI-powered execution.
The platform sits at the intersection of regulated financial services and modern software engineering, giving you real-world exposure to complex domain problems where accuracy and compliance truly matter. This is an on-site role based in Berlin, Germany.
Please note: visa sponsorship is not available for this position.
Design and build automation and infrastructure tools that eliminate repetitive work across accounting and advisory workflows.
Translate complex accounting, tax, and advisory processes into scalable, AI-powered software solutions.
Integrate systems and data across multiple partner firms to create a coherent, unified platform experience.
Collaborate closely with founders, domain advisors, and product teams to ship high-impact features quickly.
Contribute to shaping the technical architecture — ensuring the stack is built for speed, reliability, and long-term scale.
Must-haves:
3+ years of experience applying AI in real-world, production contexts — ideally in regulated industries (finance, legal, tax, healthcare, or similar).
Strong proficiency in TypeScript and Python — you're comfortable shipping clean, pragmatic code in both.
Demonstrated experience building AI-powered automation that meaningfully accelerates real work — not just prototypes.
Solid computer science fundamentals and an instinct for clean, maintainable engineering.
Genuine interest in how businesses operate — accounting, finance, and process optimisation excite rather than intimidate you.
Nice to have:
German language proficiency (professional or native level) — particularly valuable given the domain and client base.
Familiarity with German tax advisory workflows, DATEV, or similar accounting infrastructure.
Experience at a consulting firm, fintech, or professional-services technology company.
This role is on-site in Berlin, Germany. Candidates must be available to work from the Berlin office on a regular basis. Visa sponsorship is not available — candidates must have the right to work in Germany.
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Posted: 2026-08-04
A seed-stage B2B SaaS startup in the German tax advisory technology space is looking for a Founding Engineer – Backend & Platform to join their small, fast-moving team in Berlin. The company is building an AI-powered operating platform that unifies legacy accounting systems across tax advisory firms — automating workflows, enabling data flows, and powering safe AI applications at scale.
As a founding engineer, you will design and operate the core backend that powers this platform. Your work will define how data moves, how work gets done, and how the system scales across dozens of firms. This is a true greenfield environment: your architectural decisions matter from day one, and your code runs in real production environments immediately.
You will work directly with the CTO on system design and core technical decisions. Visa sponsorship is available for this role.
Design, implement, and operate core backend services spanning accounting, payroll, reporting, and compliance domains.
Build robust data pipelines to ingest, normalize, and reconcile data from accounting software (DATEV), banks, and document sources.
Design and operate workflow orchestration systems for long-running, stateful, failure-prone processes.
Own correctness, observability, and performance of the systems you build — end to end.
Make pragmatic architectural decisions in a greenfield codebase with real production stakes.
Ship to production frequently; your code runs inside live tax advisory firms from the start.
Collaborate directly with the CTO on system design and foundational technical choices.
Must-haves (dealbreakers):
Proven track record of building and operating production backend systems (language-agnostic background welcome; stack is TypeScript-heavy today).
3+ years of experience building backend systems.
Required skills:
Strong TypeScript skills.
Experience designing systems with a focus on data integrity, workflows, and reliability.
Strong observability, monitoring, and performance optimization skills for production systems (metrics, tracing, logging).
Experience integrating DATEV and/or other accounting software into a production platform.
Nice to have:
Hands-on experience building data pipelines to ingest, normalize, and reconcile data from DATEV, banking, and document sources.
Experience designing and operating workflow orchestration for long-running, stateful, and failure-prone processes.
Who thrives here: Engineers who take full operational ownership, prefer robust systems over theoretical elegance, and are energized by messy, real-world infrastructure problems at an early-stage company.
This role is on-site in Berlin, Germany. Visa sponsorship is available.
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Posted: 2026-08-04
This is a founding-team engineering role at a seed-stage startup that is building an AI-powered operating platform for the German tax advisory and accounting industry. The company acquires established tax firms and transforms them with proprietary technology — automating operational workflows so that tax professionals can focus on high-value client consultation.
As a Founding Engineer – Product & Process, you will turn real-world tax advisory work into executable, scalable systems. You will own the full journey from prototype to hardened production workflow, and directly shape how work flows, where automation adds leverage, and how complex, regulated processes scale across multiple firms.
This role is based on-site in Berlin, Germany. Visa sponsorship is not available.
Analyze workflows across accounting, payroll, reporting, and client communication to understand how work actually moves.
Identify bottlenecks, handover points, failure modes, and unnecessary manual effort.
Rapidly design and build minimum-viable prototypes (MEPs/MVPs) to automate and validate workflows.
Implement workflow systems using n8n, Temporal, or custom backend services.
Collaborate closely with tax advisors and engineers in tight, iterative feedback loops.
Own the full transition from early prototype → hardened, production-grade workflow.
Make deliberate decisions about when a UI adds genuine value — and when it's just an implementation detail.
Required:
Based in Berlin, or willing to relocate to Berlin, Germany to work from the office.
Experience with tax, accounting, advisory, or broader professional services workflows — genuine domain knowledge of how these processes work.
Significant experience designing and shipping workflow-heavy or automation-driven systems.
Strong computer science fundamentals paired with a product-minded, deeply technical approach.
Comfort with end-to-end ownership, ambiguity, and iterative prototyping rather than rigid process mandates.
Nice to Have:
Hands-on experience with n8n, Temporal, or similar workflow orchestration tools.
Experience hardening early-stage prototypes into robust production systems.
Background working closely with domain experts (e.g. accountants, tax advisors, legal professionals).
Location: Berlin, Germany
Work arrangement: On-site (Berlin office)
Visa sponsorship: Not available
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Posted: 2026-08-04
We're building an AI-native operating system that helps nurse practitioners launch and run independent clinical practices — and we're looking for a Founding Product Engineer to own and shape the clinician-facing product experience. This is a high-impact, early-team role at a seed-stage healthtech company where you'll work directly with founders, designers, and clinicians to turn complex clinical workflows into polished, reliable software that improves care delivery.
You'll be a defining voice in engineering culture, product direction, and technical architecture — not just an executor of finished specs. If you thrive at the intersection of strong engineering craft and genuine product ownership, this role is for you.
Own major clinician-facing workflows end-to-end — from whiteboard through implementation, testing, rollout, and iteration.
Collaborate closely with designers, founders, and clinicians to define product behavior rather than waiting for finished specs.
Drive frontend architecture and technical direction across provider and patient applications.
Influence APIs, data models, and overall system behavior while primarily owning the frontend.
Iterate quickly from rough concepts to production-quality experiences alongside a product designer.
Debug complex production issues spanning browsers, APIs, third-party integrations, and infrastructure.
Contribute to engineering culture through thoughtful code reviews, technical discussions, and pragmatic decision-making.
Leverage AI development tools as part of your workflow while maintaining full ownership of system design and production quality.
Must-haves:
Demonstrated experience leading significant technical initiatives or owning major product areas.
Strong hands-on experience with React and Next.js (TypeScript familiarity expected).
Proven track record of owning user-facing features from concept through production.
Comfort collaborating across the frontend/backend boundary — including working with APIs and debugging backend behavior.
Experience working directly with designers, customers, or domain experts to shape product direction.
Experience delivering workflows in a fast-moving, early-stage startup environment.
Strong product intuition, engineering judgment, and debugging skills.
Willingness to commute to a Midtown Manhattan office 3 days per week (hybrid).
Comfort using AI-assisted development tools responsibly while maintaining ownership of what you build.
Nice to haves:
Experience in healthcare, with FHIR, or other regulated software environments.
Prior experience as an early or founding engineer at a startup.
Experience building products used throughout the workday, where usability and workflow continuity matter as much as correctness.
Experience evolving or maintaining a design system.
Salary: $180,000 – $220,000 annually
Early-team equity commensurate with a founding engineer role
Visa sponsorship: Not available
This is a hybrid role based in New York City, NY. You'll be expected in the office 3 days per week. Remote-only candidates will not be considered for this position.
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Posted: 2026-08-04
Join an early-stage industrial robotics startup in Munich as a junior AI Engineer on a focused ML and robotics team. You'll work on the core deep learning stack that enables robotic work cells to perceive and act in real industrial environments — covering tasks such as surface finishing, welding, and coating. This is a hands-on, high-impact role from day one, with room to grow into deployment and MLOps responsibilities as the platform matures. Early team members participate in equity.
Note: This role is fully on-site in Munich, Germany. Visa sponsorship is not available.
Train and implement deep learning models as part of the core robotics product.
Iterate on model architectures and training pipelines to improve real-world performance.
Support deployment of trained models to customer and edge environments.
Collaborate closely with the ML and robotics team on the core technical roadmap.
Contribute to on-site customer deployments and edge environment bring-up.
Design and run reproducible experiments, tracking evaluation metrics to drive continuous improvement.
Must-haves:
1+ years of hands-on experience training deep learning models using Python and PyTorch (academic thesis, research project, or industry work counts).
Proficiency with Docker for environment replication and model deployment.
Comfort working in a Linux / command-line environment.
Experience deploying trained models to production or customer environments.
Strong advantages:
Familiarity with Slurm or other cluster job scheduling systems.
Experience with ONNX or other model export / interoperability tools; interest in edge or on-device deployment.
Background or strong interest in computer vision, robotics, or physical systems.
Experience with data versioning tools such as DVC.
Cloud deployment experience.
Fluency in English; German is a plus.
Rigorous, analytical mindset with a habit of structured experimentation.
Competitive salary commensurate with experience.
Equity participation as an early team member.
Opportunity to shape the technical direction of a growing robotics platform.
This position is on-site in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany; visa sponsorship is not provided.
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Posted: 2026-08-04
Join the Foundation team at a fast-growing Series A/B EdTech platform serving tens of millions of students worldwide. This team builds the technical base that product teams rely on — from the Flutter mobile app and core backend services to developer experience and AI infrastructure.
As a Mobile Platform Engineer, you will own the core of the Flutter app: shared components, architecture, and performance. You'll shape the standards that keep the wider engineering organisation productive. This is a high-leverage role — the systems you maintain determine how confidently other teams can ship features.
Own the core Flutter app, including shared components, the design system, performance monitoring, and tooling.
Define how features are built by establishing patterns for state management and backend integration, and guide product teams in applying them.
Improve the end-to-end developer workflow — from CI/CD and store distribution to internal tooling — removing recurring friction that slows other teams down.
Integrate AI tooling into the codebase and workflows, and help determine its role in the product over time.
Keep the existing foundation healthy and dependable so product teams can build on it with confidence.
Required:
Several years of experience delivering production software at scale, ideally including responsibility for the architecture of a mobile application.
Strong, multi-year hands-on experience building mobile apps with Flutter and Dart.
Solid mobile DevOps experience: CI/CD pipelines, app store distribution, and release management.
A genuine interest in AI as an engineering surface — curiosity matters more than a formal background.
A systems-thinker mindset: you reason clearly about trade-offs, communicate effectively across teams, and take satisfaction in foundational work whether or not your name is attached to a shipped feature.
Salary: €80,000 – €110,000 per year, depending on experience.
Work in a collaborative, mission-driven engineering team in a scaling EdTech company.
Berlin, Germany — on-site role.
Visa sponsorship is not available for this position.
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Posted: 2026-08-04
We are an early-stage AI marketing technology (martech) startup based in Munich, Germany, helping brands win visibility in AI-driven search platforms. Our platform enables companies across a wide range of industries — including pharma, medtech, finance, law, and media — to optimize their content for AI search engines and generative AI platforms.
We're looking for an enthusiastic Sales Intern to join our small, fast-moving team. You'll work side-by-side with experienced sales professionals, gaining hands-on exposure to B2B sales processes, outreach tools, and pipeline management — all while making a real contribution to the team's goals from day one.
Identify and qualify inbound and outbound leads to support pipeline growth.
Conduct guided outreach to prospective customers via email and phone.
Maintain and update CRM records to ensure accurate pipeline management.
Prepare sales collateral, presentations, and tailored proposals for prospects.
Coordinate meetings and product demos between prospects and account teams.
Track sales metrics and generate reports to inform team decisions.
Collaborate with marketing and product teams to align messaging and materials.
Support social media and content outreach efforts across platforms such as LinkedIn, Instagram, and TikTok.
Required:
Currently enrolled as a university student (undergraduate or graduate) with internship eligibility in Germany.
Authorized to work in Germany — visa sponsorship is not available.
Proficiency in German (conversational to professional level, spoken and written).
Strong proficiency in English (verbal and written).
Genuine interest in sales, marketing, content creation, or AI/search technology.
Familiarity with social media platforms (LinkedIn, Instagram, TikTok, etc.) and basic analytics tools.
Excellent communication, teamwork, and presentation skills.
Strong organizational skills, attention to detail, and a results-oriented mindset.
Eagerness to learn quickly and thrive in a fast-paced startup environment.
Nice to Have:
0–1 years of prior sales, marketing, or customer-facing experience.
Familiarity with CRM tools such as Salesforce or HubSpot.
Basic video editing or content creation skills.
Interest in AI, generative search, or SEO/AEO.
Additional languages beyond German and English.
Paid internship with a fixed monthly compensation.
Hands-on experience at a cutting-edge AI martech startup.
Close mentorship from experienced sales and marketing professionals.
Exposure to a fast-growing sector at the intersection of AI and digital marketing.
This is an on-site role based in Munich, Bavaria, Germany. Candidates must be available to work from the Munich office. Visa sponsorship is not provided.
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Posted: 2026-08-04
Join a fast-moving B2B performance marketing and lead generation agency that partners with companies across industries to help them acquire more qualified customers, reduce acquisition costs, and scale profitably. Growth here means both what the team delivers for clients every day and how the team itself operates — with speed, ownership, and proprietary in-house tooling that sets the agency apart from traditional players.
This is a hands-on execution role, not consulting. You will develop strategies and carry them out yourself — from building automations to running multichannel outbound campaigns — using tools built internally because off-the-shelf simply isn't fast enough.
Work across a diverse portfolio of B2B clients spanning multiple industries and business models.
Design and execute multichannel outbound and performance marketing strategies (paid social, SEA, signal-based outreach, email).
Build and maintain automations to streamline workflows and improve campaign efficiency.
Leverage data enrichment and AI-assisted tooling (e.g. Clay, Make, OpenAI integrations) to personalise outreach at scale.
Integrate with client CRM systems (e.g. Pipedrive, Salesforce, HubSpot) and contribute to reporting infrastructure.
Communicate directly with clients and internal stakeholders — honestly, clearly, and with conviction.
Reflect on results, learn from mistakes, and continuously raise the bar for yourself and those around you.
Required:
Bachelor's or Master's degree in a relevant field.
1–3 years of experience in a fast-moving environment such as a startup, consulting firm, or venture capital setting.
Hands-on experience in multichannel outbound or performance marketing.
Practical ability to build automations and streamline workflows.
Strong sales instinct and communication skills — you can write compelling copy and close a conversation.
Full professional fluency in both German and English (spoken and written).
A reflective, growth-oriented mindset — you learn from feedback and push yourself to improve.
Ability to work on-site in Berlin (visa sponsorship is not available).
Nice to have:
Familiarity with tools such as Clay, Make, HubSpot, Salesforce, or similar platforms.
Prior agency experience or exposure to multiple client contexts simultaneously.
Salary: €65,000 – €80,000 per year (depending on experience)
1:1 mentoring with founders
Hybrid working arrangement
Gym membership
Team events and offsites
Premium hardware setup
This role is based in Berlin, Germany (hybrid). Candidates must be available to work on-site regularly. Visa sponsorship is not available.
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Posted: 2026-08-04
We are an innovative company looking for a motivated, entry-level professional to join our growing team. This is a great opportunity to launch your career in a dynamic and collaborative environment across our offices in San Francisco, Los Angeles, and New York City.
Contribute to key team initiatives and day-to-day operations.
Collaborate with cross-functional teammates to support business goals.
Learn and grow within your role, taking on increasing responsibility over time.
Bring fresh perspectives and a proactive attitude to ongoing projects.
No prior experience required — this is an entry-level position open to recent graduates and career starters.
Strong communication and organizational skills.
Eagerness to learn and a collaborative, team-first mindset.
Candidates must be legally eligible to work without visa sponsorship in the country of employment. Visa sponsorship is not available for this role.
Compensation details will be shared during the interview process. We are committed to offering competitive pay and a supportive work environment.
This is an on-site role with the primary location in San Francisco, CA. Candidates based in or willing to relocate to San Francisco, Los Angeles, or New York City are encouraged to apply.
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Posted: 2026-08-04
This is a founding engineering role at an early-stage healthtech SaaS company building the system of record for nursing excellence. The platform helps large health systems improve nurse retention and patient outcomes by centralizing professional governance, digital clinical ladder programs, clinical inquiry (EBP, QI, Research), and ANCC designation management — replacing fragmented spreadsheets and shared drives with a unified, enterprise-grade product.
You'll be the first or among the first engineers, working directly with the founding team to own architecture, set standards, and ship production features across four integrated products. This is a high-ownership, high-impact role in a massive and underserved healthcare vertical.
No visa sponsorship is available. Candidates must be authorized to work in the United States without company sponsorship.
Own end-to-end architecture and ship production features across a suite of four integrated SaaS products
Design data models and backend services for complex multi-hospital, multi-unit organizational structures
Build AI workflows for exemplar writing, evidence organization, and document retrieval across large program datasets
Implement enterprise infrastructure including SSO/SAML, role-based access control (RBAC), audit logging, and HRIS integrations
Join customer calls, hear problems firsthand, and translate feedback into shipped product within tight timelines
Define and establish engineering standards, CI/CD pipelines, testing strategies, and scalable architectural patterns for a growing team
Required:
5+ years of experience building production SaaS products
Strong full-stack development skills: TypeScript, React, and server-side JavaScript (Node.js)
Experience designing backend systems for multi-tenant or multi-unit, workflow-heavy applications
Hands-on experience with enterprise authentication (SSO/SAML), RBAC, audit logging, and HRIS integration
Experience building AI-powered workflows for document generation, evidence organization, or large-dataset retrieval
Proven ability to own both architecture and implementation in an early-stage, fast-moving environment
Ability to engage directly with non-technical domain experts and customers, and translate feedback quickly into product
Clear written and verbal communicator who collaborates well across functions
Tech stack in use: Next.js, React, TypeScript, PostgreSQL, Supabase, Vercel, AWS S3
Salary: $135,000 – $155,000 USD annually
Equity and stock options with clear career progression
401(k) with company match
Learning & development stipend (tuition, certifications, conferences)
Comprehensive wellness program and mental health resources
Generous paid parental leave (including adoption and surrogacy)
Commuter benefits and Employee Assistance Program (EAP)
This role is fully remote (US-based). The company is headquartered in San Francisco, CA.
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Posted: 2026-08-04
A fast-growing, early-stage consumer nutrition brand in the men's health space is hiring its first full-time Founder's Associate based in Berlin. This is a high-impact generalist role working directly with the founder across brand, product, and go-to-market — making you a core shaper of the company's culture, direction, and Germany-first launch. The right candidate may be considered for a co-founder path.
This is an on-site role in Berlin. You must be fluent in German and eligible to work in Germany without visa sponsorship.
Ramp up quickly and support the founder across operations, brand, and product tasks day-to-day.
Own go-to-market activities with a focus on Germany.
Contribute to brand building, product taste, style, and positioning for a consumer lifestyle product.
Coordinate a small, scrappy team including a Werkstudent, an incoming intern, and a fractional head of performance.
Execute ad-hoc operational projects with high autonomy and low supervision.
Help define early customer experiences and establish feedback loops for a consumer product.
Collaborate closely with the founder and contractors on-site in Berlin.
Must-haves:
Based in Berlin and fully available to work on-site.
Fluent in German (hard requirement for the Germany-first go-to-market).
Eligible to work in Germany — no visa sponsorship is available.
Strong generalist drive with the ability to learn quickly across domains in a startup environment.
Genuine affinity for brand building and consumer products — this is not a pure SaaS or analytics role.
Demonstrated taste, style, and feel for what makes a compelling consumer brand.
Comfortable operating with high autonomy and executing both strategic and operational tasks.
Nice-to-haves:
Prior experience in a startup, consumer brand, or early-stage company.
A bachelor's degree or equivalent practical experience (helpful, not required).
0–4 years of experience in relevant areas; entry-level candidates with strong potential are very welcome.
Salary: €24,000 – €36,000 per year
Equity: 5% ESOP
Co-founder path: Genuine consideration for the right candidate
City: Berlin, Germany
Work arrangement: On-site
Visa sponsorship: Not available — candidates must already be eligible to work in Germany
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Posted: 2026-08-04
A well-funded, early-stage B2B SaaS company building an AI-native intelligence platform for strategic procurement is looking for a Founding Product Engineer. The world's largest industrial companies spend billions on sourcing, yet their teams still operate on fragmented data, manual analysis, and gut feel. This company is replacing that with AI agents that turn procurement into a cognitive function.
You'll be one of the earliest engineers on the team, working in a fast-moving environment where your output directly shapes the product and the customer experience. Enterprise customers are already asking for features faster than the team can ship them — you'll change that.
Build end-to-end features across the full stack: frontend UI, backend services, and LLM integrations.
Design and implement sophisticated AI agent pipelines, then make that complexity invisible to end users.
Prototype quickly, iterate on real customer feedback, and ship production-grade features at pace.
Sit close to real users — translate their behavior and feedback into experiences that genuinely land.
Own features from UX through backend logic to prompt design, with full accountability for outcomes.
Help define how AI agents and procurement professionals interact at scale.
Treat AI-assisted development as a natural part of your workflow, with clear judgment on when it helps.
Required:
Strong proficiency in full-stack TypeScript (frontend and backend).
Sharp intuition for working with LLMs — prompting, tuning, and integrating them into real products. Evidence via work history, side projects, or hackathons is a plus.
Strong product taste and creative instincts for what makes a great user experience.
High agency and outcome-driven mindset — you find a way, you don't wait for permission.
Comfort navigating ambiguity: fast prototyping, sharp instincts, and relentless iteration.
Genuine excitement about working in-person with the team in Berlin.
Nice to Have:
Experience with agentic or multi-step LLM pipeline architectures.
Background in enterprise SaaS, procurement tech, or data-intensive B2B products.
1–10 years of experience; all levels considered — what matters is mindset and track record.
Salary: €90,000 – €140,000 per year, depending on experience.
Equity participation as a founding team member.
Direct impact on product direction and company trajectory from day one.
Berlin, Germany — hybrid, in-person collaboration with the team is expected.
Visa sponsorship is not available for this role.
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Posted: 2026-08-04
This is a rare opportunity to join a fast-growing AI-focused B2B SaaS company as their first dedicated Operations & Customer Success hire. You'll work directly alongside the founding team to onboard, support, and grow a portfolio of 40+ B2B clients across 14+ industries. The company builds an AI Visibility Content Engine that helps brands appear in AI-generated answers and overviews across leading platforms. You'll be foundational to how clients experience the product and how the team scales.
Own the end-to-end onboarding experience for new B2B clients, ensuring a smooth and value-driven start
Serve as the primary point of contact for a growing portfolio of clients, building strong relationships and driving retention
Identify client needs and translate them into actionable product feedback for the founding team
Develop and refine scalable processes for client communication, reporting, and success tracking
Collaborate closely with the founders on operations, tooling, and internal workflows as the company scales
Support upsell and expansion conversations by demonstrating product value and understanding client goals
Required:
0–2 years of experience in customer success, operations, or a startup environment with a focus on onboarding and supporting B2B SaaS clients
Full professional fluency in both German and English
A proactive, ownership-driven mindset — comfortable in an early-stage environment where processes are still being built
Strong communication and organisational skills, with an ability to manage multiple client relationships simultaneously
Nice to Have:
Familiarity with AI-focused or content-engine SaaS products (e.g. AEO, GEO, or SEO tooling)
Experience translating client feedback into concrete product improvement requests
Background at a consulting firm, growth-stage startup, or tech company in a client-facing role
Base salary: €70,000 per year
Equity: 0.25–0.75% VSOP (virtual stock options), depending on profile and experience
Visa sponsorship: Not available
This is an on-site role based in Munich or Hamburg, Germany. The team is split across both cities and you are welcome to join from either location.
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Posted: 2026-08-04
This is a rare opportunity to join as a Founding Scientist / Co-Founder at an early-stage startup at the intersection of AI and wet-lab biology, operating within the aerospace and defense sector. You will combine hands-on biological expertise with computational thinking to shape the company's scientific strategy and core technology — bridging laboratory work with AI-driven workflows to accelerate discovery.
This role is on-site in Germany. Candidates must be eligible to work in Germany without visa sponsorship.
Define and lead the scientific vision and research roadmap for early-stage AI + wet-lab products.
Design and execute key experiments in molecular biology, biochemistry, or genomics to validate models and assays.
Collaborate closely with engineers and ML researchers to translate experimental needs into computational requirements.
Implement and oversee lab automation and data pipelines to scale experiments and improve reproducibility.
Prototype computational tools and analyses; contribute code or notebooks integrating wet-lab data with models.
Mentor and recruit early scientific hires; establish laboratory best practices and safety standards.
Help navigate sector-specific constraints unique to aerospace and defense applications.
Required:
PhD in Biotechnology, Genomics, Biology, or a closely related field.
Senior-level research experience in molecular biology, biochemistry, genomics, biotech, or equivalent industry background.
Demonstrated experience applying AI/ML to biological data (computational biology, bioinformatics, or similar).
Experience in or familiarity with aerospace or defense domains, including an understanding of sector-specific constraints.
Comfortable with computational thinking and coding; experience with ML is a strong plus.
Must be eligible to work in Germany without visa sponsorship.
Nice to Have:
Prior experience at AI-for-biology companies, biotech startups, or similar industry environments.
Hands-on lab automation experience.
Prior founder experience or direct experience scaling early-stage teams and operations.
Entrepreneurial mindset with comfort navigating ambiguity in a fast-moving startup environment.
Strong cross-functional communication and collaboration skills.
Ideal Background: Research or training at a leading institution or university, with a track record that combines rigorous wet-lab science and computational fluency. Candidates with backgrounds at defense-adjacent biotech firms or aerospace technology companies are particularly well-suited.
You will work at the frontier of AI-accelerated biology, helping to build systems that tightly integrate machine learning models with experimental wet-lab workflows. The team values intellectual curiosity, a bias toward action, and the ability to move fluidly between the bench and the codebase.
Location: Germany (on-site)
Remote: Not available for this role
Visa Sponsorship: Not available — candidates must have existing eligibility to work in Germany
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Posted: 2026-08-04
A fast-growing Series A AI model training and evaluation company — headquartered in Mountain View, CA and working with top frontier AI labs — is hiring a Founding ML Engineer focused on Demand Generation. This is a rare opportunity to sit at the intersection of machine learning and growth strategy, building intelligent systems that directly drive user acquisition, conversion, and retention at scale.
You'll own the end-to-end development of AI-powered demand generation infrastructure: from lead scoring models and behavioral analytics pipelines to LLM-driven personalization and campaign optimization. Think of it as engineering meets growth — where the models you ship create measurable business impact.
This role is on-site in Mountain View, CA. No remote or hybrid option is available. Candidates must be authorized to work in the United States without employer sponsorship.
Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization.
Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach.
Design and maintain data pipelines for behavioral analytics, audience targeting, and A/B experimentation.
Partner closely with marketing and product teams to translate growth objectives into measurable ML solutions.
Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach personalization.
Establish data-driven frameworks for channel optimization and ROI tracking across marketing programs.
Required
3–10 years of hands-on ML engineering or data science experience, with direct exposure to demand generation, lead scoring, or campaign optimization.
Strong proficiency in Python and ML frameworks (PyTorch and/or TensorFlow) for building and shipping production-grade models.
Proven experience building and deploying data pipelines for behavioral analytics, audience segmentation, targeting, and experimentation.
Hands-on experience with marketing tech stacks and APIs: HubSpot, Salesforce, Google Ads API, Meta Ads API.
Experience experimenting with LLMs, recommendation systems, and generative AI for content and outreach use cases.
Track record of establishing data-driven frameworks for channel optimization and ROI measurement.
A builder's mindset — you move fast, experiment often, and take ownership of measurable outcomes.
Must be authorized to work in the United States without employer visa sponsorship.
Nice to Have
Familiarity with growth analytics platforms and performance marketing ecosystems.
Curiosity for applying AI to business outcomes beyond traditional ML use cases.
Salary: $220,000 – $300,000 per year, depending on experience.
Founding-level equity and early-stage impact opportunity.
Collaborative, high-velocity team environment working on cutting-edge AI applications.
On-site: Mountain View, California, USA.
Remote or hybrid arrangements are not available for this role.
No visa sponsorship available — candidates must have existing US work authorization.
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Posted: 2026-08-04
We're a seed-stage enterprise AI platform startup founded in Berlin, helping organizations securely adopt and integrate generative AI across their entire operations. Our model-agnostic platform covers AI chat, automated workflows, and custom AI agents — deployed compliantly in Europe — and is trusted by thousands of enterprises across a wide range of industries.
As an Enterprise Account Manager, you'll own a book of enterprise accounts and be the driving force behind their AI transformation journeys. You'll work at the intersection of customer success, commercial growth, and product influence — and you'll use AI agents and automation to scale your own work. This is a high-ownership, high-impact role in a small, ambitious team operating fully on-site in Berlin.
Own a portfolio of enterprise accounts and be directly accountable for retention, adoption, and expansion.
Build structured account plans including stakeholder maps, health assessments, growth opportunities, and risk mitigation strategies.
Run strategic customer conversations — QBRs, executive business reviews, and proactive check-ins — grounded in data and measurable outcomes.
Identify and drive expansion opportunities across users, use cases, and deployment scope.
Navigate complex enterprise stakeholder landscapes: find champions, manage blockers, and build multi-threaded relationships from end users to C-level.
Build AI agents and automated workflows to manage your own book of business, systematically eliminating manual effort.
Work cross-functionally with Solutions Engineering, Product, and Sales to translate customer needs into product improvements and action plans.
Serve as the internal voice of the customer while aligning with the company's product direction and roadmap.
Must-haves:
5+ years in a customer-facing enterprise role — Account Management, Customer Success, or consultative post-sales.
Proven track record driving adoption, renewals, and expansion in complex enterprise organizations.
Hands-on experience building AI agents and automating workflows; comfortable using AI to replace manual work in your own day-to-day.
Technical credibility to hold substantive conversations about model selection, data privacy, and integration architectures with technical stakeholders.
Strong commercial acumen: you understand the levers of a SaaS business and know how to position and close expansion conversations.
Fluency in German (C1+) and English — both are required.
Ability to work fully on-site in Berlin (relocation support available).
Nice-to-haves:
Background at an AI-native company, technical consulting firm, or early-stage startup.
Founder or early-employee experience.
Portfolio of hands-on AI agent or workflow deployments in enterprise contexts.
Experience at firms such as BCG, SAP, Microsoft, PwC, EY, or similar tier.
Salary: $80,000 – $120,000 per year (or equivalent)
Relocation support for candidates moving to Berlin
High ownership in a small, fast-moving team shaping how enterprises adopt AI
Visa sponsorship: Not available
This role is fully on-site in Berlin, Germany. Candidates must be available to work from the Berlin office five days a week. Remote or hybrid arrangements are not offered for this position.
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Posted: 2026-08-04
This is a rare opportunity to be the first engineering hire at a fast-moving, Y Combinator-backed startup building the marketing suite for the agentic web. The company helps brands understand and improve how AI platforms — think large language model-powered search and content tools — mention and surface them. You'll work directly with both founders and customers, owning product features from ambiguous idea all the way to live, value-delivering product.
The work spans product thinking, frontend, backend systems, LLM pipelines, data, and real customer conversations. If you thrive in early-stage environments where you shape what gets built and how, this role is for you.
Own full product features end to end — identify what to build, ship it, and keep iterating until it creates real customer value.
Work side by side with the founders and customers on a daily basis.
Span the full stack: frontend UI, backend systems, LLM/agentic pipelines, and data infrastructure.
Talk directly to customers, translate those conversations into product decisions, and close the loop.
Design simple, intuitive UX for complex AI-driven workflows.
Required:
Demonstrated track record of shipping production SaaS features — you know what "done" looks like in a real product.
Comfortable owning full-stack product work from an ambiguous problem all the way to a live feature.
Strong instinct for designing clean, usable UX on top of complex workflows.
Solid experience with TypeScript and React.
Has shipped a product from 0 to 1 before (side project, startup, or early-stage role counts).
Nice to Have:
Hands-on experience with Vite, Supabase, Vercel, and/or ClickHouse.
Exposure to LLMs and agentic workflows — either in production or in the way you personally work.
Comfortable with the pace and ambiguity of an early-stage startup environment.
Soft skills:
Product-minded generalist who wants to own outcomes, not just tasks.
Enjoys direct customer contact and turning feedback into product.
Based in Munich or genuinely willing to relocate — this is an on-site role.
Base salary: €85,000 – €120,000 per year
Equity: Meaningful VSOP (founding-team range)
Visa sponsorship: Available
True founding-team scope and impact from day one
Munich, Germany — on-site. The team works together in person. Candidates must be based in Munich or willing to relocate. Start date: as soon as possible.
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Posted: 2026-08-04
A fast-growing, seed-stage enterprise AI platform is looking for a talented and proactive Full-Stack Product Engineer to join the team on-site in Berlin. Founded in 2023, the company builds a comprehensive, security-first platform that helps organizations securely adopt and integrate generative AI — covering AI chat, workflows, custom agents, and integrations across entire business operations.
This is an early-stage opportunity where you'll own features end-to-end, work directly with the Chief Product Officer, and ship AI-powered capabilities that drive enterprise adoption at scale.
Contribute to the development of product features across the AI platform, from technical design through to user-facing implementation.
Build end-to-end solutions spanning the frontend (Next.js), backend (Node.js), and database layers.
Collaborate with the design team and customers to gather insights, iterate on features, and refine user flows.
Implement user interfaces including full screens, reusable components, and complete user journeys.
Maintain and optimize the codebase for performance and user experience.
Participate in Support Engineer rotations, periodically shifting focus to assist customers and the customer support team alongside the rest of the engineering team.
Must-have:
2+ years of experience in software engineering.
Strong proficiency with Next.js, TypeScript, and Node.js (dealbreakers).
Hands-on experience with PostgreSQL, Redis, Prisma, tRPC, and Tailwind CSS.
Proven track record of delivering features end-to-end — from concept to production — in full-stack development.
Nice to have:
Experience building AI-powered product features and integrating AI capabilities into enterprise applications.
Experience collaborating closely with a Chief Product Officer and cross-functional teams to shape product direction.
Strong CS fundamentals with a habit of rapid learning and adaptation.
Salary: $66,000 – $120,000 per year (depending on experience).
Visa sponsorship is available.
On-site, Berlin, Germany. This is a full-time, in-person role — remote work is not available for this position.
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Posted: 2026-08-04
We're an early-stage AI SaaS company building the intelligence layer for wholesale distributors — helping their sales teams move from reactive to proactive, data-driven selling. Our platform integrates directly with existing ERP systems to surface opportunities, automate routine tasks, and drive measurable revenue growth for wholesalers.
We're looking for a Senior Account Executive to own revenue and relationships with wholesale distribution businesses. This is a high-ownership, high-impact role at the centre of our go-to-market motion. You'll work closely with SDRs, our Growth Lead, and the founding team to close meaningful deals and help shape how we sell.
Visa sponsorship is available for this role.
Own your pipeline end-to-end — from first discovery call to contract signature.
Close new business across all deal sizes, from fast-moving SMBs to larger, more complex accounts.
Run discovery sessions, product demos, negotiations, and pricing discussions with owners and executives in wholesale distribution.
Act as a trusted advisor by deeply understanding customers' operational workflows, data, and decision-making processes.
Translate customer pain into compelling business cases and ROI narratives that clearly demonstrate value.
Manage multi-stakeholder buying processes, handle objections, and drive deals to close with structure and urgency.
Build and maintain a healthy, predictable pipeline in close collaboration with SDRs; ensure CRM hygiene and forecasting accuracy.
Provide feedback to improve lead quality, messaging, and outbound strategies; partner with Marketing on campaigns.
Represent the voice of the customer internally to inform product and GTM strategy.
Must-haves (dealbreakers):
Native German speaker (non-negotiable) with full professional fluency in English.
3+ years of B2B SaaS sales experience in a closing AE or hybrid Growth role.
Required:
Proven track record of consistently exceeding quota and building pipeline through structured outbound and experimentation.
Experience selling into mid-market or enterprise customers with non-transactional, multi-stakeholder sales cycles.
Prior experience selling to wholesale distributors or similar B2B industries is a strong advantage.
Strong business acumen — able to articulate ROI clearly to C-level leaders and business owners.
Comfortable with CRM systems, modern outreach tooling, and AI-assisted workflows for research, prep, and follow-up.
Entrepreneurial mindset: you take ownership, thrive in ambiguity, and drive initiatives end-to-end.
Collaborative, cross-functional approach — you work well with Marketing, Growth, and founding team members.
This role is based on-site in Berlin, Germany. Visa sponsorship is available.
Compensation details will be discussed during the interview process. As an early-stage company, we offer meaningful equity participation alongside a competitive base and commission structure.
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Posted: 2026-08-04
We are a fast-growing, AI-native Go-To-Market agency based in Berlin, helping over 200 B2B tech companies across the DACH region generate qualified leads, scale revenue, and lower customer acquisition costs. Our work spans performance marketing, signal-based outreach, CRM integration, and workflow automation — all powered by modern AI tools.
As a GTM Engineer, you will own strategic projects end-to-end from day one — designing and building automated processes, working closely with data, and driving initiatives forward independently within a team of 30+ people.
Own and execute strategic GTM engineering projects independently, from scoping through delivery.
Build and maintain automated workflows and processes using tools such as n8n, AI APIs, and similar automation platforms.
Collect, transform, and visualize data to support decision-making across GTM campaigns and client operations.
Identify inefficiencies in existing processes and design clean, maintainable, and scalable technical solutions.
Integrate and optimize CRM systems (e.g., Pipedrive, Salesforce, HubSpot) and reporting infrastructure.
Leverage AI tools actively to accelerate output and explore new applications in a GTM context.
Collaborate cross-functionally with performance marketing, outreach, and client success teams.
Required:
AI-native mindset: You actively use AI tools (e.g., Claude, ChatGPT) in your day-to-day work and are genuinely curious about their GTM applications.
Strong data skills: Comfortable with SQL, Python, and BI tools such as Looker Studio or Snowflake to derive actionable insights.
Bilingual: Fluent in German and English — both written and spoken — at a professional level.
Systems thinker: You proactively spot inefficiencies and architect technical solutions that are built to last.
1–3 years of relevant experience in a GTM engineering, marketing operations, sales ops, or related technical role.
Nice to Have:
Hands-on experience with automation tools such as n8n, Make, or Clay.
Familiarity with B2B performance marketing channels (Google, LinkedIn) and outreach workflows.
Experience working in an agency or fast-paced startup environment.
Salary range: €50,000 – €70,000 per year, depending on experience.
Ownership and autonomy from day one on meaningful, strategic projects.
Work within a collaborative, growth-oriented team of 30+ people.
Opportunity to shape how AI is applied in GTM at a leading DACH agency.
This is a hybrid role based in Berlin, Germany. Candidates must be based in or willing to relocate to Berlin. Please note that visa sponsorship is not available for this position.
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Posted: 2026-08-04
A fast-moving, pre-seed energy intelligence startup is looking for a Founding Product Engineer to join as one of its earliest technical hires. The company builds an AI-powered platform that helps large industrial companies optimise their energy procurement costs — combining real-time market intelligence, portfolio management, and flexible energy flow control.
In this role you'll own the full product lifecycle end-to-end: from understanding customer problems and shaping requirements, through system design and implementation, to deployment. You'll work directly alongside the founding team and customers to turn complex energy market dynamics into elegant, scalable software. This is a high-ownership, high-impact position at a company with strong early traction in the European industrial energy market.
The role is primarily on-site in Munich, with occasional flexibility for remote work.
Take full ownership of product features — from discovery and design through to deployment.
Collaborate directly with customers to translate product objectives into concrete, actionable requirements.
Design simple, iterative solutions to complex energy procurement and market problems.
Develop performant backend services for a highly data-intensive application.
Build intuitive, elegant user interfaces for a complex decision-support system.
Train time-series forecasting models for power consumption and renewables production.
Develop linear optimisation algorithms aimed at reducing customer energy costs.
Help choose and shape the core technology stack (PostgreSQL, TypeScript, React, Python).
Must-haves:
2+ years of software engineering experience delivering scalable web applications in an early-stage startup environment.
Proven track record of delivering full product features independently, in close collaboration with customers.
Strong software engineering fundamentals — you write robust, maintainable, and scalable code.
Experience building backend services for data-intensive applications.
Experience building frontend UIs for complex decision-support or analytical products.
A genuine product mindset — you think about user outcomes, not just technical correctness.
Comfort with ambiguity and a bias for action; you thrive in fast-paced, early-stage environments.
Nice-to-haves:
Hands-on experience with time-series forecasting and/or linear optimisation.
Familiarity with PostgreSQL, TypeScript, React, and/or Python.
Experience with FastAPI or Supabase.
Background as a startup CTO, technical co-founder, or generalist engineer.
Interest in energy markets, sustainability, or data-intensive B2B applications.
Corporate background is welcome with demonstrated startup grit and mindset.
Salary: €85,000 – €140,000 per year (depending on experience)
Early employee equity participation
High-ownership, founding-team role with significant influence over product and technical direction
Work directly with founders and enterprise customers in a fast-growing market
Please note: visa sponsorship is not available for this role.
Munich, Bavaria, Germany. The role is primarily on-site the majority of the week, with occasional flexibility for remote work. Candidates must be willing and able to work on-site in Munich regularly.
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Posted: 2026-08-04
This is a founding-level, hands-on ML engineering role at a fast-growing Series A AI startup in the Bay Area, specializing in high-quality training data, post-training data pipelines, and model evaluation for frontier AI labs and enterprises. You'll work closely with leadership to design, train, and ship production-grade ML systems — while helping shape the technical culture and infrastructure from the ground up.
This role is fully on-site in Mountain View, CA. Candidates must be authorized to work in the US without visa sponsorship.
Build and optimize end-to-end ML pipelines, from data ingestion through to production deployment.
Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
Develop efficient training and inference systems leveraging distributed compute at scale.
Partner with data and product teams to translate ideas into measurable ML impact.
Contribute to model monitoring, evaluation, and continual learning frameworks.
Establish best practices in model versioning, reproducibility, and scalability across the organization.
Required
3–10 years of hands-on experience as an ML Engineer, Applied Scientist, or Research Engineer.
Proficiency in Python and at least one of PyTorch, TensorFlow, or JAX.
Proven experience building production-grade, end-to-end ML pipelines (data ingestion, training, deployment).
Experience implementing and fine-tuning LLMs, embeddings, and generative models for real-world use cases.
Hands-on experience with distributed training/inference and scalable ML systems.
Familiarity with cloud platforms (AWS, GCP, or Azure) and ML tooling such as MLflow or Weights & Biases.
Strong collaboration skills with cross-functional data and product teams.
Bias for action, ability to work autonomously, and eagerness to build from scratch.
Nice to Have
Experience with RL environments or evaluation frameworks for AI models.
Background in agentic systems, tool-use pipelines, or multi-step execution trajectories.
Prior experience at an early-stage startup or in a founding-engineer capacity.
Salary: $220,000 – $300,000 per year, depending on experience.
Equity participation as a founding team member.
Opportunity to directly shape technical direction, culture, and hiring at an early-stage, high-growth company.
On-site in Mountain View, California.
No visa sponsorship available — candidates must have existing US work authorization.
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Posted: 2026-08-04
We're a fast-moving, mission-driven energy technology company building the infrastructure that powers dynamic electricity plans for European households — and we're looking for a Product Engineer to sit at the intersection of customer discovery, end-to-end delivery, and engineering culture.
This is a high-ownership, zero-to-one role on a small team operating in a complex, regulated domain. You'll work directly with customers, shape what gets built, and ship production-grade solutions to real problems in energy retail — billing, procurement, customer retention, and cost optimization. We're an AI-first team and treat AI-native tooling as a core force multiplier, not an afterthought.
We're based in Berlin (Mitte), Germany. This role is fully on-site. Visa sponsorship is not available.
Sit with customers to dissect problems and develop product intuition that directly guides engineering decisions.
Ship end-to-end solutions across the full stack — from discovery through to production.
Use AI-native development tools (e.g., Claude Code, Cursor) to accelerate output and increase your impact.
Own zero-to-one problems such as dunning workflows, customer portal re-engineering, and other core product surfaces.
Prioritize ruthlessly — decide what to build, what to skip, and when to kill an initiative.
Solve core energy retail challenges: billing, procurement, customer retention, and cost optimization.
Shape engineering culture, tooling, and processes as the team grows.
Help recruit and raise the engineering bar across the team.
Adapt quickly to new tools and methods, and bring the team along to the frontier.
Must-haves (dealbreakers):
Demonstrated track record of owning zero-to-one problems from discovery to production — we assess what you've shipped, not just years on a résumé.
2+ years of software engineering experience delivering end-to-end, full-stack products to production.
Hands-on experience with AI-native codebases and AI-assisted development tools (e.g., Claude Code, Cursor).
Strong requirements:
Experience solving billing, procurement, customer retention, or cost-optimization problems in an energy retail or similar consumer-facing domain.
Ability to ship end-to-end features that measurably reduce costs or improve customer experiences in production.
Experience shaping engineering culture, tooling, and processes in a small or early-stage team.
Nice to have:
Experience building or contributing to core products in high-engineering-bar environments or successful open-source projects.
Comfort operating with extreme ownership and thriving in ambiguity within a high-growth environment.
Salary: $80,000 – $120,000 per year (USD equivalent)
High-impact role with significant scope to shape the product and engineering culture
Work on mission-critical problems at the frontier of energy technology in Europe
Small, senior team with strong ownership culture and fast feedback loops
Berlin, Germany (Mitte) — on-site
Visa sponsorship is not available for this role
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Posted: 2026-08-04
A fast-growing AI-powered energy intelligence startup in the DACH market is looking for a Founders' Associate / Chief of Staff to work directly alongside the founding team. This is a high-ownership, hybrid GTM and operations role — ideal for someone who thrives at the intersection of outbound sales, strategic projects, and operational execution in an early-stage environment.
The company provides an AI-driven platform for holistic energy cost optimisation for industrial enterprises, helping them make smarter procurement decisions and manage energy consumption more efficiently. The business is well-funded at the pre-seed stage and is actively scaling its commercial and engineering teams across the DACH region.
No visa sponsorship is available for this role.
Build and maintain a strong enterprise sales pipeline across DACH in close partnership with the founders.
Run outbound execution including cold calls, emails, and LinkedIn outreach with tailored, persona-specific messaging.
Refine ICP, targeting strategy, and value propositions using real market and prospect feedback.
Produce high-quality sales materials — decks, one-pagers, follow-ups, and business cases — to improve conversion rates.
Join discovery calls to surface customer insights and translate them into sharper positioning and product messaging.
Act as an extension of the founders on strategic and operational topics, including investor updates and reporting.
Own and lead high-priority special projects end-to-end: market research, partnership development, and internal initiatives.
Support marketing content and event preparation (newsletters, social posts, event messaging).
Rapidly develop deep knowledge of energy markets and the product to drive improvements across sales and product roadmap.
Operate autonomously in ambiguous, fast-changing environments and continuously iterate on team processes.
Must-haves (dealbreakers):
3+ years of experience in enterprise sales or outbound demand generation, building and delivering top-of-funnel pipeline in the DACH region.
Demonstrated experience leading cross-functional initiatives and acting as an operational right hand to founders in a startup environment, owning projects end-to-end.
Required skills and experience:
Experience preparing investor updates and collaborating with founding teams on investor relations and strategic communications.
Proven track record building and managing enterprise sales pipelines and outbound prospecting across DACH.
Ability to create and deliver compelling sales enablement materials; proficiency with Notion, Google Workspace, HubSpot, and LinkedIn Sales Navigator.
Knowledge of energy markets, or a demonstrated ability to rapidly learn and translate insights into sales and product improvements.
Experience conducting or participating in discovery calls and extracting insights to refine positioning and messaging.
Comfort driving cross-functional initiatives (market research, partnerships, internal projects) with limited structure.
Strong startup mindset — gritty, resourceful, and ownership-driven.
Nice to have:
Experience in energy sector partnerships or procurement contexts.
Familiarity with MEDDICC or similar enterprise sales methodologies.
Background at or adjacent to industrial corporates (e.g. manufacturing, energy, engineering sectors).
This is a primarily on-site role based in Nuremberg or Munich, Bavaria, Germany. Candidates should be able to work on-site approximately 4 days per week. Remote-only candidates will not be considered.
Fluency in German is strongly preferred given the DACH-focused commercial scope.
Salary range: $60,000 – $90,000 annually (or equivalent in EUR)
Early-stage equity opportunity in a well-backed, fast-scaling startup
Direct exposure to founders and meaningful impact on company direction from day one
High degree of autonomy and ownership across commercial and strategic workstreams
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Posted: 2026-08-04
We're a well-funded (Series A), fast-growing AI procurement intelligence company based in Munich, Germany, building software that helps industrial companies optimize purchasing and supply chain operations. Our product is used daily by non-technical procurement professionals, and AI agents sit at the core of what we do.
We're looking for a Senior or Staff Product Designer to define how agentic AI capabilities surface in our product — making AI feel natural, trustworthy, and genuinely useful for people who aren't data scientists or engineers. You'll join a small, senior design team working closely with product managers, engineers, and domain experts in a product that directly impacts real cost savings for customers.
This is an on-site role in Munich. Visa sponsorship is not available.
Define how agentic AI capabilities present in the product — from communicating "the agent is working" through to "here's what it found."
Design interaction patterns where AI and human judgment collaborate rather than compete, with a focus on trust and transparency.
Produce short-horizon vision work (3–6 month outlook) as prototypes and tangible artifacts that guide engineering and product teams.
Raise overall product craft and coherence as engineering velocity and feature output scale.
Work directly in code for last-mile polish — check out PRs and tweak interactions before features ship.
Collaborate across product management, engineering, and procurement domain experts to translate complex workflows into usable experiences.
Define and maintain design systems and component libraries to ensure consistency at scale.
Conduct user research and usability testing with non-technical procurement professionals to continuously sharpen product decisions.
Required:
Senior-level product designer with a strong portfolio of shipped product work — ideally in B2B SaaS, complex workflows, or data-heavy products.
Broad ("block-shaped") skill set spanning visual design, interaction design, product thinking, and prototyping in code — not a single-specialty T-shape.
Practical experience prototyping beyond Figma — able to build runnable prototypes that clearly communicate intent and behavior.
Proficiency in Figma and familiarity with related tools (FigJam, Sketch, InVision, or similar).
Experience defining and maintaining design systems and component libraries.
Experience conducting user research and usability testing to inform product decisions.
Comfortable collaborating with cross-functional teams (product, engineering, data science) in a fast-paced environment.
Thoughtful, well-formed opinions about how AI should appear in products — with emphasis on trust, transparency, and appropriate levels of automation.
Regular user of AI tools (e.g., Claude, ChatGPT, Cursor) as part of your research, ideation, and prototyping workflow.
Comfortable operating with ambiguity and inventing new interaction patterns for genuinely novel problems.
Nice to Have:
Experience designing for non-technical users in complex B2B domains (e.g., procurement, manufacturing, supply chain, ERP-adjacent).
Prior work designing agentic or autonomous AI features in a shipped product.
Background at enterprise software companies (e.g., SAP, Celonis, or similar process-intelligence platforms).
This role is based on-site in Munich, Bavaria, Germany. We are not able to offer visa sponsorship for this position.
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Posted: 2026-08-04
A Berlin-based pre-seed AI SaaS startup is looking for a Technical Co-Founder to join as the third member of the founding team. The company is building an AI-powered platform that automates the end-to-end lifecycle of public procurement participation — from tender discovery and requirements analysis through to compliant concept and proposal generation — targeting the DACH region. This role carries full technical ownership and a direct impact on product direction, architecture, and go-to-market traction.
The platform is built on LLMs, Retrieval-Augmented Generation (RAG), and NLP, and must be fully GDPR-compliant, hosted in EU cloud environments. Incorporation is in preparation and a public funding application is currently in progress.
Design and own the overall system architecture, with a focus on GDPR-compliant EU cloud infrastructure (e.g., AWS Bedrock, Vertex AI — Frankfurt region).
Build the core AI engine that generates complete, compelling proposal concepts from structured company data.
Develop and maintain a reference database for past projects, certificates, and CVs, and integrate them dynamically into generated concepts.
Implement entity resolution, reliability scoring, and confidence quantification across data pipelines.
Work deeply in AI/ML (LLMs, RAG, NLP) and/or broadly across full-stack product engineering — depending on your strengths.
Set technical priorities collaboratively within a small founding team.
Contribute to business strategy during the pre-seed phase alongside the other co-founders.
Must-haves (dealbreakers):
5+ years of experience in product/engineering roles delivering AI-powered software with LLM, NLP, and/or RAG capabilities.
Hands-on experience with GDPR-compliant architecture in EU cloud environments (data handling for NLP/LLM workloads).
Prior experience as a technical founder or technical lead who has built an AI-first product from zero with end-to-end ownership.
Required:
Strong, production-grade full-stack development skills for AI-enabled products.
Practical experience integrating LLMs, RAG pipelines, and NLP into real products.
Genuine founder mentality — you want to help build a company, not just work through tickets.
Willingness to join as a technical co-founder with equity as the primary compensation during the pre-seed phase.
German language proficiency (the product operates in the DACH regulatory context: VgV, HOAI, etc.).
Strongly preferred:
Experience with enterprise data pipelines and secure data handling in EU cloud environments (DSGVO/GDPR context).
Familiarity with German public procurement law or the architectural/planning office domain.
Pragmatic, ship-first working style — you iterate quickly and avoid over-engineering.
Equity: 15–20% co-founder equity stake.
Vesting: Standard four-year vesting schedule with a one-year cliff.
Salary: Compensation is heavily equity-weighted during the pre-seed phase; cash salary to be discussed based on funding progress.
Visa sponsorship: Not available.
Preferred: Berlin-based (on-site / hybrid).
Remote within the DACH region (Germany, Austria, Switzerland) may be considered for the right candidate.
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Posted: 2026-08-04
We're a fast-growing, seed-stage European AI SaaS startup building AI-powered phone assistant technology for SMBs. Our platform automates inbound call handling — from lead qualification and appointment booking to customer service and order processing — and we're expanding aggressively into English-speaking markets.
As our Sales Development Representative (English-Speaking), you'll own the entire English-language top-of-funnel: qualifying inbound leads, running multi-channel outbound outreach, and handing off warm demos to Account Executives. This is a high-ownership, metrics-driven role with a clear and fast path to AE for top performers.
Own the English-speaking top-of-funnel from first contact through to qualified demo handoff.
Qualify inbound leads generated by marketing on a daily basis.
Execute multi-channel outreach across phone, email, LinkedIn, and emerging channels.
Build and iterate on outreach sequences — form hypotheses, A/B test, measure results, and improve continuously.
Shape and improve SDR processes in a fast-paced, high-growth startup environment.
Support new customer onboarding and ensure smooth transitions to Account Executives.
Operate with end-to-end ownership and receive direct feedback to accelerate your development.
Must-haves:
Native or C2-level English proficiency.
1+ years of experience in outbound B2B SaaS sales, top-of-funnel activities, and delivering qualified opportunities.
Willingness to temporarily relocate to Vienna, Austria for approximately 1–2 months to immerse in company culture (relocation support provided).
Demonstrated ability to qualify leads and hand off demos to Account Executives.
Experience running multi-channel outbound outreach (phone, email, LinkedIn) and optimising outreach sequences.
Track record of documenting and testing sales hypotheses to improve sequence performance.
Experience supporting new customer onboarding and initial adoption.
Nice-to-haves:
Familiarity with B2B SaaS sales processes and fast-paced startup environments.
Experience with CRM platforms (e.g., HubSpot, Salesforce) and sales enablement tooling.
Naturally competitive, target-driven, and motivated by uncapped commission potential.
Base salary: $50,000–$75,000 per year (plus uncapped commission)
Clear, fast-track promotion path to Account Executive for top performers
Direct mentorship and rapid feedback loops in a small, high-ownership team
Please note: Visa sponsorship is not available for this role.
This is an on-site role based in London, England, UK. Candidates must also be willing to temporarily relocate to Vienna, Austria (approximately 1–2 months) at the start of employment to onboard and absorb company culture.
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Posted: 2026-08-04
We are looking for a Senior EDI Developer to join a US-based IT services and technology consultancy on a 10-month W-2 contract engagement. In this fully remote role, you will perform solution-level technical analysis, design, and implementation of EDI integrations, while leading the day-to-day technical execution of integration and API projects across globally distributed teams.
Visa sponsorship is not available for this role. Candidates must be authorized to work in the United States without sponsorship.
Translate solution designs into production-ready EDI integration implementations.
Ensure code quality and adherence to development standards across all deliverables.
Lead technical work streams and provide hands-on technical guidance to the broader team.
Mentor junior developers and conduct thorough code reviews.
Collaborate effectively with globally distributed teams in a remote-first environment.
Troubleshoot and resolve complex production issues in a timely and methodical manner.
Required — Dealbreakers:
8–10 years of experience with IBM Sterling Integrator (v5.2.6 or above).
Proven EDI development, maintenance, support, and monitoring experience.
Mastery of mapping formats: X12, EDIFACT, XML, cXML, CSV, JSON, and Flat Files.
Experience with communication protocols: FTP, SFTP, AS2, and VAN.
Proficiency with DB2, SQL, XML, XSLT, Web Services, and REST APIs.
Solid understanding of EDI architecture including encryption, authentication, monitoring, scalability, and availability.
Must be authorized to work in the United States without visa sponsorship.
Also Required:
Ability to lead technical work streams, mentor junior developers, and conduct code reviews.
Experience collaborating with globally distributed teams and providing technical leadership.
Excellent communication and problem-solving skills.
Availability for a W-2 contract engagement (not C2C or 1099).
Rate: Up to $60/hour on W-2.
Contract Duration: 10 months.
Employment Classification: W-2 contract.
100% Remote — open to candidates based anywhere in the United States.
Visa sponsorship: Not available. Must be authorized to work in the US without sponsorship.
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Posted: 2026-08-04
We're a seed-stage deeptech startup operating at the intersection of physics-informed AI, robotics, and advanced materials science — accelerating the discovery of next-generation materials for the energy sector and beyond. We're looking for a Partnership Manager to own the post-signing relationship with our strategic commercial partners and ensure that signed deals translate into real, delivered outcomes and lasting trust.
This is an on-site role based in Berlin, Germany. Visa sponsorship is not available — candidates must already have the right to work in Germany.
Own commercial partner success end-to-end and be fully accountable for delivery against agreed outcomes.
Serve as the trusted primary counterpart for a portfolio of strategic commercial partners.
Clarify and define what success looks like for partners beyond contract language.
Advocate for partners internally and represent the company externally with equal clarity and credibility.
Drive delivery through influence, not authority — coordinating across AI, chemistry, automation, and lab teams.
Translate partner goals into clear scopes, milestones, and priorities.
Resolve ambiguity, manage trade-offs, and maintain project momentum across complex technical workstreams.
Communicate early and clearly when risks or changes arise to protect trust and keep expectations aligned with reality.
Identify opportunities to grow delivered value into deeper, expanded collaboration.
Partner closely with Business Development to shape and convert follow-on engagements.
Must-haves:
5+ years of experience in partnerships, consulting, customer success, or account management within complex technical environments.
Proven track record of owning end-to-end delivery across multiple stakeholders in technical projects.
Experience coordinating cross-functional teams spanning domains such as AI, chemistry, automation, and/or lab environments.
Strong stakeholder management skills — able to represent partner interests internally and company interests externally.
Ability to translate partner goals into scopes, milestones, and priorities with clear, precise communication.
Proactive risk management mindset — surfaces issues early and communicates changes transparently to protect momentum and trust.
Technical literacy in deep tech, science, or engineering — comfortable working alongside scientists and engineers.
Calm under pressure with a high sense of ownership and accountability.
Fluent in English (written and spoken); additional languages are a plus.
Based in or able to relocate to Berlin, Germany (on-site role; no visa sponsorship available).
Nice to have:
Background in materials science, chemistry, cleantech, or adjacent deep-science industries.
Experience in early-stage or scaling startup environments.
Additional European languages.
This is a full-time, on-site position based in Berlin, Germany. Candidates must have the right to work in Germany — visa sponsorship is not provided.
Compensation details will be discussed during the interview process. You'll be joining a well-funded seed-stage team working on genuinely hard, high-impact science and technology.
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Posted: 2026-08-04
This is a founding-stage, hands-on role at a fast-growing personalized health diagnostics startup based in Berlin. You'll work directly with the founders to move ideas into production quickly, automate manual operations using AI and code, and help build repeatable, measurable systems that improve member outcomes — all within a regulated health context.
This is a 3–6 month engagement with genuine potential for conversion to a full-time position based on mutual fit. You'll report directly to the Co-Founder & CPTO and have real ownership from day one.
Work directly with the founding team in a low-bureaucracy environment to ship ideas quickly.
Automate and eliminate manual operations work using AI, code, and clean processes — not by managing tasks by hand.
Own customer onboarding and technical setup to move members through the funnel.
Run operations and help acquire blood testing locations.
Recruit, onboard, and schedule mobile field staff (e.g., mobile nurses).
Manage customer support and concierge workflows, including member requests and action plans.
Oversee labs and logistics: sample flow, shipping, and escalations (e.g., driver no-shows, lab changes).
Structure pipelines for product and sales to surface member feedback and patterns to the team.
Build internal tools and automations using AI agents, n8n, Lovable, Retool, Zapier, and Claude/GPT APIs.
Track ops KPIs with SQL (cycle times, error rates, stockouts) and transform ad hoc processes into measurable systems.
Required:
Strong ownership-driven, bias-to-action work style — hands-on and structured with clear processes.
Proven ability to turn manual processes into measurable, repeatable, automated systems.
Experience with recruiting, onboarding, and scheduling field staff, and managing logistics operations.
Technically capable: comfortable with basic SQL, APIs, and building tools with Lovable, Retool, or n8n.
AI-native mindset: daily use of tools like Claude, GPT, or Cursor; automations-first approach.
Strong communication skills in both German and English.
Background in Computer Science, Engineering, Life Sciences, or a similar field (studying or graduated).
Evidence of side projects, prototypes, or GitHub work.
Nice to have:
Experience in healthtech or regulated environments.
Prior exposure to founding-stage or early-stage startups.
Competitive compensation for a founding-stage role (details shared during the process).
3–6 month engagement with clear potential for full-time conversion.
Direct exposure to founders and meaningful ownership of critical systems.
No visa sponsorship available.
This role is on-site in Berlin, Germany. Candidates must be based in Berlin or able to relocate.
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Posted: 2026-08-04
Join a lean, high-caliber core engineering team at a fast-growing AI-first startup in the physical security and critical event management space. The platform leverages agentic AI to monitor real-time threat signals — including 911 radio dispatch and social media OSINT — delivering verified, actionable alerts to enterprise security operations teams in seconds. Customers include Fortune 50 retailers, major utilities, and leading autonomous-vehicle companies.
The company was founded by public-safety technology veterans, is backed by top-tier seed investors, and has crossed strong early revenue milestones with impressive customer retention. The core engineering team is small and intentional — this is a meaningful, high-ownership role.
Own core platform functionality end-to-end, from idea through production and polish
Design and build backend systems that power real-time threat intelligence ingestion, processing, and alerting
Develop and iterate on AI pipelines and agentic workflows
Build user-configured workflow systems that enable security operations teams to act quickly and precisely
Collaborate closely with a small, senior core team to ship features the industry hasn't seen before
Flex across engineering specialties as needed in an early-stage environment
Required:
Senior or Staff level backend engineering experience
0→1 ownership experience — you've taken a large project or product feature from idea to polished delivery, end-to-end
Demonstrated ability to dive into different areas of engineering (flexibility is key on a lean team)
Based in the United States
Nice to Have:
Experience building user-configured workflow or automation systems
Experience building AI pipelines or working with agentic systems
Early-stage startup experience
Eye for product design and UX
Salary: $180,000 – $205,000 annually
Visa sponsorship available
Fully remote — open to candidates anywhere in the United States
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Posted: 2026-08-04
We are looking for an experienced ServiceNow AI Control Tower Consultant to join an urgent, high-impact engagement focused on enterprise-wide AI governance and lifecycle management. This is a 100% remote, W-2 contract role open to candidates based in the USA. Interviews and submissions are being processed immediately.
You will work directly with a client implementing ServiceNow AI Control Tower, helping establish robust AI governance frameworks, compliance playbooks, and observability capabilities across their enterprise.
Configure and implement AI Governance and Lifecycle Management capabilities within ServiceNow AI Control Tower.
Support Risk, Compliance, and Security Management initiatives aligned to enterprise AI strategy.
Implement Discovery and Observability features to monitor and manage AI assets across the organization.
Build governance frameworks, dashboards, and compliance playbooks tailored to stakeholder needs.
Develop workflows and integrate ServiceNow with enterprise AI assets and third-party platforms.
Collaborate closely with both business and technical stakeholders to deliver end-to-end AI governance solutions.
Required:
Strong ServiceNow development and administration experience.
Hands-on experience with AI Governance and AI Lifecycle Management within ServiceNow.
Solid knowledge of Risk, Compliance, and Security Management principles and their implementation in ServiceNow.
Proven experience building workflows, dashboards, and enterprise integrations in ServiceNow.
Excellent communication and stakeholder management skills.
Ability to work effectively in a fully remote environment from within the USA.
Rate: Up to $70/hour (W-2)
Employment Type: W-2 Contract
Fully remote engagement — work from anywhere in the USA
100% Remote — must be based in the United States
Visa sponsorship is not available for this role
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Posted: 2026-08-04
This is a founding engineering opportunity at a Y Combinator–backed consumer wearable startup operating at the intersection of biometrics, emotional intelligence, and mobile software. The company is building a wearable device that reads emotional states in real time — think of it as a fitness tracker, but for your EQ — powered by a proprietary computational neuroscience inference model processing over 150 audio and biometric signals.
As the Founding Full-Stack iOS Engineer, you will own the companion iOS app end-to-end. This is a high-ownership, high-impact role: you'll be one of the first engineers at the company, expected to grow into a leadership position as the team scales. Prototypes are already on users' wrists — this is a real product with real momentum.
Own the companion iOS app end-to-end, from architecture decisions to pixel-perfect UI delivery
Surface emotional-state outputs (energy, mood, focus scores) from the backend inference model in a clear, compelling, and polished consumer experience
Collaborate closely with the founding team — including hardware, neuroscience, and design — to shape the full product experience
Build and maintain full-stack integrations between the iOS app and backend services
Set engineering standards and best practices as the mobile org grows around you
Required
Several years of professional experience shipping consumer-grade iOS apps (no fresh graduates)
Strong proficiency in Swift and the iOS ecosystem
Full-stack capability — comfortable working across mobile and backend layers
Track record of owning and delivering polished, production-quality mobile products
Self-directed and comfortable working in a fast-moving, early-stage environment
Nice to Have
Experience with health, fitness, or wearable consumer apps
Familiarity with biometric data, Bluetooth/BLE hardware integration, or real-time data streaming
Prior founding or very early-stage startup experience
Salary: ~$150,000 USD (or ~£75,000 GBP for London-based candidates)
Equity: Up to 1–2% — meaningful founding-level ownership
Early-stage company with Series A/B angel and strategic-partner funding round in progress
Visa sponsorship: Not available for new sponsorships; visa transfers are welcome
Primary office in London, United Kingdom. The team is also present in San Francisco. Flexible arrangements considered for the right candidate — on-site or remote.
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Posted: 2026-08-04
We're a fast-growing, seed-stage enterprise AI platform company based in Berlin, building software that helps organisations securely and flexibly adopt generative AI across their entire operations. Our platform offers model-agnostic AI chat, workflow automation, and custom AI agents — all with a strong focus on security, compliance, and European data hosting.
We're looking for a Product Marketer to sit at the intersection of product and market. You'll translate frequent product releases into sharp positioning, compelling stories, and sales-ready materials — playing a central role in how customers and prospects understand our capabilities as both the product and the category evolve.
Own go-to-market plans for every meaningful product release and execute them across the right channels.
Turn product updates into compelling narratives that explain why new features matter — and to whom.
Develop and maintain positioning that clearly differentiates the product for different buyer personas (e.g. enterprise IT leaders vs. AI leads) and markets.
Create clear, high-quality product content: comparison pages, capability overviews, one-pagers, and campaign explainers.
Work directly with customers, support tickets, and sales calls to surface what users truly value.
Enable sales and customer success with strong framing, collateral, and ready answers to difficult product questions.
Help define category positioning for enterprise AI as the market and product continue to evolve.
Participate in product reviews to stay close to what is being built and why.
Must-haves:
3+ years of experience in product marketing, delivering go-to-market for software features with measurable impact.
Proven track record owning end-to-end GTM for software product releases — planning and executing across channels.
Ability to explain technical products clearly and simply to non-technical audiences.
Excellent writing skills with a focus on clarity over cleverness.
Strong habit of engaging customers directly to surface value and translate insights into marketing and sales assets.
Comfortable participating in product reviews without needing to be an engineer.
A bias towards owning problems end-to-end rather than waiting for briefs.
Collaborative, kind approach to teammates and customer-facing stakeholders.
Nice-to-haves:
Regular use of AI tools for research, drafting, and content synthesis as part of your workflow.
Willingness and ability to be on camera or participate in public-facing demos and presentations.
Experience targeting or marketing to German enterprise IT buyers (including the German Mittelstand).
This is an on-site role based in Berlin, Germany. We're a small, hands-on team and value being in the room together. Please note that visa sponsorship is not available for this position.
We're a 20-person startup founded in Berlin in 2023, backed by well-known institutional investors at the Seed stage. Our platform is used by thousands of organisations — from large enterprises to growing mid-market companies — to roll out AI safely and at scale. We're building in one of the most exciting and consequential spaces in enterprise software right now, and this is an opportunity to shape how the market understands what we do.
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Posted: 2026-08-04
Join a fast-growing, Y Combinator–backed AI startup in Munich as their first Customer Success Manager. This is a high-impact, foundational role at a seed-stage B2B SaaS company that automates quoting and order processing for distributors and manufacturers using AI — helping sales teams eliminate manual work and close more deals.
You'll own the full post-sales customer journey and work closely with the Chief Product Officer, sales, and engineering teams to drive retention, expansion, and product adoption. This role will directly shape how the company grows with its customers.
No visa sponsorship is available — candidates must be eligible to work in Germany without sponsorship.
Own the end-to-end customer journey from sales support through onboarding, adoption, and expansion.
Serve as the primary point of contact and trusted partner for customers, driving satisfaction and long-term partnerships.
Lead onboarding and implementation to ensure a quick time-to-value and sustained engagement.
Run workshops and training sessions to accelerate product adoption and share best practices.
Translate customer feedback into actionable insights and actively influence the product roadmap.
Help customers unlock measurable efficiency gains and savings, and support them during key negotiations.
Manage accounts with a focus on retention, growth, and strategic partnership development.
Collaborate closely with product, sales, and engineering to ensure customer needs shape development priorities.
Required:
1+ years of experience in customer success, account management, or client relationship management in SaaS, B2B, or consulting.
Excellent verbal and written communication skills with confidence engaging C-level stakeholders.
Proven ability to lead customer onboarding, drive product adoption, and advocate for renewal and retention throughout the post-sales lifecycle.
Familiarity with SaaS success metrics (health scores, CSAT, NPS, churn) and a data-informed approach to customer management.
Experience with CRM platforms such as Salesforce or HubSpot.
Proactive, empathetic, and people-oriented — motivated to build something meaningful and grow with an early-stage company.
Native German and fluent English (both required).
Willingness to work five days a week from the Munich office, with occasional customer travel.
Nice to Have:
Domain knowledge in construction, HVAC, electrical, plumbing, or supply chain/distribution industries.
Experience working in or with early-stage startups.
Background in manufacturing or industrial B2B environments.
This is a full-time, on-site role based in Munich, Germany. You'll be expected in the office five days a week, with occasional travel to visit customers.
This is a seed-stage, Y Combinator–backed startup (batch W25) with a small but experienced team, building AI-powered software to automate inside sales workflows — including quote generation, order processing, email automation, and AI voice agents — for distributors and manufacturers. The platform integrates with major ERP and CRM systems (SAP, Oracle, Salesforce, HubSpot) and is GDPR-compliant with enterprise-grade security certifications. The company serves customers across HVAC, electrical, building materials, and related distribution sectors.
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Posted: 2026-08-04
Join a small, high-caliber founding team at a pre-seed AI/fintech startup building the next generation of AI-native operations infrastructure for private markets. You'll own core backend systems that power fund accounting, reporting, reconciliation, and treasury automation — with a deep focus on permissions, auditability, traceability, and observability across both hosted and self-hosted deployments.
This is a high-ownership, high-impact role for an engineer who thrives in early-stage environments and wants to shape foundational architecture from the ground up.
Own and manage backend infrastructure for permissions, auditability, traceability, and observability
Design and oversee deployment architectures for hosted and self-hosted environments using infrastructure-as-code tools
Enhance system reliability, performance, and security in production
Partner closely with product teams to ship features while maintaining high quality standards
Drive AI-native development practices to enable rapid, high-quality releases
Required:
1–6 years of backend engineering experience with a strong emphasis on permissions systems, auditability, traceability, and observability
Hands-on experience with distributed systems and modern observability toolchains (metrics, logs, tracing)
Comfortable working in a small founding team — strong ownership, initiative, and cross-functional coordination are essential
Eligible to work in Germany and willing to work on-site in Berlin
Tech stack in use:
TypeScript, NestJS, PostgreSQL, Prisma, Inngest, Mastra, React, Tailwind
Nice to have:
Background in fintech, private markets, fund accounting, or enterprise SaaS
Experience at companies operating in the AI/ML or financial operations space
Salary: €70,000 – €110,000 per year, depending on experience
Early-stage equity opportunity
Direct impact on product direction and architecture at a founding-team level
Berlin, Germany — on-site
Candidates must be eligible to work in Germany; no visa sponsorship available
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Posted: 2026-08-04
A fast-growing, Series A PropTech company building an AI-native operating system for short-term and holiday rental management across Europe is looking for a Product Engineer to join a lean, high-impact team. You'll design and ship agentic AI systems that observe, decide, and act on real-world property operations — with humans in the loop.
This is a full-stack, ownership-heavy role at the intersection of product thinking and engineering execution. You won't be handling tickets — you'll be driving outcomes end-to-end, modernizing legacy systems, and turning messy operational workflows into reliable, autonomous software.
Own features end-to-end, learning the business deeply enough to drive solutions independently.
Design and build agentic AI workflows for guest communication (chat and voice), operational decisions, and property management tasks.
Modernize legacy systems and redesign data structures to meet evolving product requirements.
Shadow real operational workflows to uncover inefficiencies, workarounds, and hidden steps.
Translate messy processes into clean, production-ready software.
Scope, ship, and iterate on problems rather than just executing predefined specs.
Collaborate with internal teams to align product and engineering direction.
Operate with high agency and ownership to deliver results rapidly and safely.
Required:
Demonstrable engineering experience you can walk through during the hiring process.
Strong proficiency in TypeScript and React for full-stack development.
Familiarity with Express, PostgreSQL, MongoDB, and AWS.
Comfortable working in an agentic engineering style — running multiple agents, parallel terminals, and AI coding tools (e.g. Claude Code, Codex).
Strong product taste: attention to user experience down to interaction wording and messaging.
Ability to self-manage: plan work, communicate progress, and proactively flag blockers.
Track record of shipping quickly with sound judgment about acceptable risk.
Fluent spoken and written English.
Experience with Linear and Notion (or equivalent) for work tracking and documentation.
Willingness to relocate to Berlin, Germany and work from the office regularly.
Nice to Have:
Experience building agentic AI or AI agent systems.
Prior startup experience or a founder mentality.
Background in hospitality, PropTech, or short-term rental domains.
Strong product-minded approach with a track record of influencing product direction.
Please note: No visa sponsorship is available. Candidates must be eligible to work in Germany without sponsorship.
Salary range: $90,000 – $110,000 USD annually
Lean, accountable team focused on outcomes over process
High ownership and direct impact on a core product
Work at the cutting edge of applied AI in a real-world operational domain
This role is on-site in Berlin, Germany. Candidates should be based in or willing to relocate to Berlin. The team also has presence in other German cities and Vienna, Austria.
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Posted: 2026-08-04
We are looking for an experienced OFS Developer to join our fully remote development team. You will bring strong enterprise software development expertise and the ability to step into a technical leadership role — guiding teammates, driving code quality, and collaborating closely with cross-functional stakeholders to deliver high-impact solutions.
Design, develop, and modify code in alignment with established AEP standards and best practices.
Identify, troubleshoot, and resolve software defects efficiently and thoroughly.
Serve as a technical lead, providing direction and guidance to team members.
Recommend technical solutions and implementation approaches appropriate to project needs.
Leverage software testing tools to ensure high-quality, reliable software delivery.
Lead and actively participate in code reviews to uphold engineering standards.
Collaborate with architects, analysts, project managers, and business stakeholders throughout the development lifecycle.
Mentor junior developers and contribute to overall team success.
Communicate effectively with both technical and non-technical audiences.
Required:
Strong, hands-on experience in OFS Development.
Proven experience building and maintaining enterprise-grade applications.
Solid understanding of and adherence to AEP standards and best practices.
Strong debugging and troubleshooting capabilities.
Experience leading development teams and conducting structured code reviews.
Demonstrated ability to serve as a technical lead and mentor to junior developers.
Experience with software testing tools and quality assurance practices.
Excellent written and verbal communication skills.
Nice to Have:
Experience working in cross-functional, distributed teams.
Familiarity with MarTech or CRM-adjacent enterprise platforms.
100% Remote — open to candidates based anywhere in the United States.
No visa sponsorship available.
This is a contract engagement.
Compensation details to be discussed during the interview process.
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Posted: 2026-08-04
We are a growing MarTech consultancy and Salesforce implementation partner serving clients in banking, healthcare, insurance, and retail. We specialize in end-to-end digital transformation and marketing automation, and we're looking for a Senior Adobe Experience Manager (AEM) Developer to join our team of enterprise technology experts.
This is a fully remote role available as W2 (up to $70/hr) or C2C (up to $65/hr). H1B transfer is supported.
Design, develop, and maintain enterprise-grade applications using Adobe Experience Manager (AEM).
Build scalable and reusable AEM components, templates, workflows, and OSGi services.
Develop custom Sling Models, OSGi bundles, and HTL (Sightly) components.
Configure and maintain AEM Assets, Content Fragments, and Experience Fragments.
Integrate AEM with enterprise applications and third-party systems via REST APIs and web services.
Collaborate closely with UX, QA, DevOps, and business stakeholders throughout the full SDLC.
Lead and participate in code reviews, production support, and performance optimization efforts.
Ensure adherence to development best practices, security standards, and coding guidelines.
Mentor and guide junior and mid-level developers in technical discussions and delivery.
Required
10+ years of overall software development experience; 7+ years of hands-on AEM development.
Strong expertise in AEM 6.x and AEM as a Cloud Service (AEMaaCS) — Sites, Assets, and Workflows.
Deep proficiency in Java, J2EE, Apache Sling, OSGi, HTL, Servlets, and REST APIs.
Experience building reusable AEM components, templates, dialogs, workflows, Content Fragments, and Experience Fragments.
Hands-on experience integrating AEM with enterprise systems using REST APIs and web services.
Solid knowledge of HTML5, CSS3, JavaScript, and responsive UI development.
Experience with CI/CD pipelines using Maven, Git, Jenkins, or equivalent DevOps tooling.
Familiarity with Agile/Scrum development methodologies.
Experience working in a marketing services or agency environment with cross-functional collaboration.
Strong written and verbal communication skills with demonstrated client-facing capabilities.
Current legal right to work in the United States (H1B transfers considered; no new sponsorship).
Nice to Have
Adobe Certified Expert – AEM designation.
Experience in Insurance or Financial Services domains.
Familiarity with Adobe Target, Adobe Analytics, or Adobe Experience Platform.
Knowledge of AWS or cloud-native deployment practices.
Proven track record of leading technical teams, conducting code reviews, and mentoring developers.
W2: Up to $70/hour
C2C: Up to $65/hour
H1B transfer supported
Fully remote work arrangement
Engagement with a diverse portfolio of enterprise clients across regulated industries
This role is fully remote. The client base is US-based; candidates must be able to work within US business hours. The reference location is San Ramon, California, USA.
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Posted: 2026-08-04
We are a seed-stage deeptech startup building an advanced materials acceleration platform that combines physics-informed AI, robotics, and real-world experimental data to dramatically shorten the timeline for discovering new materials — particularly for the energy sector. We are seeking a Head of AI Research to define and lead our AI-for-Materials research agenda.
This is a senior leadership role sitting at the intersection of machine learning, physics, chemistry, and automated experimentation. You will shape the scientific vision that translates cutting-edge research insight into reliable, end-to-end discovery pipelines — and build the world-class team to execute it.
Location: Berlin, Germany (on-site). Visa sponsorship is not available — candidates must be eligible to work in Germany without employer sponsorship.
Define and champion the research thesis for AI-native materials discovery; set high-impact research bets and long-horizon strategy.
Identify where existing ML paradigms fall short for physical matter and specify what needs to be invented instead.
Lead development of a Materials World Model that bridges experiments, simulations, and learned representations.
Collaborate closely with Programs, Hardware & Automation, and Software Architecture teams to embed research into end-to-end autonomous discovery loops.
Ensure models stay grounded in physical reality and experimental feedback — not just abstract data.
Balance ambitious long-horizon research goals with near-term deliverables and milestones.
Build, hire, mentor, and challenge a multi-disciplinary team of senior ML researchers and scientists.
Foster a culture of deep thinking, honest evaluation, scientific taste, and intellectual courage.
Influence the broader scientific community through collaborations and a clear, opinionated point of view on future directions.
Required:
Advanced degree (PhD strongly preferred) in machine learning, physics, chemistry, or a closely related field.
7+ years of machine learning research experience, including demonstrated leadership of senior individual contributors or head-of-team responsibility.
Deep expertise in physics-informed machine learning, representation learning, or foundation models applied to materials science or related physical domains.
Proven ability to build end-to-end discovery pipelines that integrate experiments, simulations, and models.
Track record of setting and influencing a research agenda — defining thesis, prioritizing under uncertainty, and making irreversible bets.
Strong intuition for physical systems, chemistry, and their constraints.
Excellent cross-disciplinary communication skills; ability to influence technical and non-technical stakeholders and external collaborators.
Fluency in English; additional languages are a plus.
Eligibility to work in Germany without employer visa sponsorship.
Nice to Have:
Background in scientific ML areas such as equivariant neural networks, generative models for molecules/materials, or multi-fidelity modeling.
Experience in automated or autonomous laboratory environments.
Familiarity with the energy materials landscape (e.g., batteries, catalysts, photovoltaics).
Prior experience at a research institution, national laboratory, or deeptech startup.
Compensation details are not publicly listed for this role. A competitive package commensurate with the seniority and strategic importance of this position will be discussed during the interview process.
This is a full-time, on-site role based in Berlin, Germany. Candidates must be willing and eligible to work in Berlin without employer-sponsored visa support.
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Posted: 2026-08-04
A Y Combinator–backed enterprise AI SaaS startup (Seed stage, SF-headquartered, 11–50 people) is hiring a Founding Deployment Strategist to lead its European expansion from Munich. You will work directly with the CEO to turn large enterprises into AI-native operators — combining hands-on agent development, high-touch customer partnership, and team-building to drive measurable AI adoption across complex organisations.
This is a founding-level role with end-to-end ownership, a direct line to the top, and significant scope to shape both the product roadmap and the European team as the company scales.
Lead the European go-to-market rollout from Munich, partnering directly with the CEO on strategy and execution.
Diagnose high-leverage AI opportunities within enterprise accounts and prioritise the highest-value use cases for each customer.
Build initial agents and automated workflows to prove value quickly, then drive adoption organisation-wide.
Run agent hackathons and coach C-suite stakeholders on AI transformation strategy and rollout planning.
Navigate complex enterprise politics — identify champions, remove blockers, and cultivate relationships across all seniority levels.
Serve as the voice of the customer to product and engineering, advocating for critical features and improvements.
Hire, mentor, and grow the European team as the company scales.
Systematically automate your own role and manual processes using the company's own AI agents — practising what you preach.
Own outcomes end-to-end; proactively pick up tasks beyond the formal job description.
Required:
Native or near-native German (spoken and written) for executive-level collaboration and communications.
Deep, hands-on experience shipping AI agents, workflows, or production ML/AI features in enterprise settings.
Proven track record leading enterprise AI deployment programmes — strategy, implementation, and impact measurement.
Strong understanding of model selection, routing, evaluation design, data residency, and integration architecture.
Demonstrated ability to manage and influence C-suite stakeholders; polished executive-level communication and presentation skills.
Experience building and leading cross-functional deployment teams in high-ambiguity, fast-moving environments.
Commercial sharpness with experience influencing revenue outcomes — renewals, expansion, and account growth.
High ownership, high agency, low ego — with a strong bias for action and rapid prioritisation.
Based in Munich or genuinely ready to relocate.
Nice to have:
Background at a top-tier consulting firm, enterprise software company, or research institution.
Prior experience in a founding or early-stage operator role at a B2B SaaS or AI startup.
This is an on-site role based in Munich, Germany. The company also has a presence in San Francisco. Visa sponsorship is not available for this position.
The company builds an agentic operating system for enterprises — a platform that allows business users to describe a problem and instantly deploy customised AI agents to execute complex workflows autonomously, without engineering expertise. Key platform capabilities include:
No-code agent building and multi-agent orchestration across a virtual workforce.
200+ ready-to-use integrations with popular business tools, plus custom HTTP API / MCP server connectors.
Support for leading AI models (OpenAI GPT, Anthropic Claude, Google Gemini) with no vendor lock-in.
Human-in-the-loop controls — approvals, reviews, and handoffs before critical actions.
Enterprise-grade governance layer for permissions and budget management.
The company is Seed-funded and backed by Y Combinator alongside a roster of prominent founders and operators from the AI and SaaS ecosystem. The team includes alumni from leading tech companies, global consulting firms, and research institutions.
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Posted: 2026-08-04
This is a maximum-ownership founding engineering role at a pre-seed AI-native fintech startup building autonomous agent workflows for private market operations. The platform connects to inboxes, web portals, and financial data sources to extract data, reconcile bank accounts, and generate journal entries for existing ERPs — turning what used to take fund accounting teams days of manual work into a matter of minutes, with full traceability and real-time collaboration.
You will work side-by-side with the founding team and early design partners, shaping the product roadmap, contributing to hiring, and taking on meaningful ownership from day one. Top performers will have the opportunity to grow quickly into a leadership role.
Build and maintain core platform components, including backend APIs, services, and AI-native agent infrastructure
Design and develop agentic/autonomous workflows for financial operations — covering fund accounting, reconciliation, reporting, and treasury processes
Integrate and operate large language models (LLMs) in production, including intelligent routing across models for speed, accuracy, and efficiency
Connect the platform to ERPs, banking systems, email, file storage, and other data sources
Collaborate directly with customers to understand requirements and translate them into product capabilities
Actively contribute to the product roadmap and architectural decisions
Help attract and evaluate exceptional engineering talent as the team grows
Required
1–3 years of professional software engineering experience
Hands-on experience building or operating AI-native infrastructure — e.g. systems involving LLMs, agentic/autonomous systems, or intelligent workflow orchestration
Strong backend development skills: production-grade APIs and services
Domain knowledge in private markets fund accounting, reporting, reconciliation, or treasury workflows
Comfort operating in a high-ownership, fast-paced founding environment with ambiguity and proactive communication
Eligibility to work in Germany (visa sponsorship is available)
Based in Berlin or willing to relocate
Nice to Have
Prior experience at fintech, fund administration, or financial operations tooling companies
Experience with enterprise integrations (ERP connectors, banking APIs, email/portal data capture)
Background from high-calibre engineering organisations in cloud infrastructure or enterprise software
Salary: €70,000 – €110,000 per year, depending on experience
Visa sponsorship available for eligible candidates
Opportunity for equity and rapid career growth into a leadership position
Direct impact on product, culture, and company direction as a founding team member
This is an on-site role based in Berlin, Germany. Candidates must be based in Berlin or willing to relocate. Visa sponsorship is available.
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Posted: 2026-08-04
We are an early-stage enterprise AI automation company headquartered in Munich, Germany. Our platform studies real work processes, identifies repeatable patterns, and deploys AI agents that take over complex but routine tasks — freeing teams to focus on high-value work. We serve industries including professional services, insurance, financial services, and customer support.
As a Member of Technical Staff, Product, you will be at the core of our engineering effort: turning workflow observations into production-grade AI agents that autonomously perform real work. You'll collaborate directly with customers, own your systems end-to-end, and ship automations that measurably save hours of manual effort. This is a high-ownership, high-impact role in a fast-moving early-stage team.
Convert observed customer workflows into deployable AI agents that perform work autonomously.
Work closely with customers to understand their operations and identify high-value automation opportunities.
Ship production automations that replace hours of repetitive tasks and improve user efficiency.
Own AI agents end-to-end: design, build, deploy, monitor, and continuously improve them.
Run experiments with new models, techniques, and use cases; benchmark results and ship what works.
Contribute to observability and monitoring practices — metrics, dashboards, and alerting for live AI systems.
Must-haves:
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
Hands-on experience shipping LLM-based systems in production — not just prototypes.
Demonstrated end-to-end ownership of production AI agents (build → deploy → monitor → improve).
Strong Python programming skills; comfortable working across the full stack of an AI system.
Experience turning observed or documented workflows into deployable AI automations.
Comfortable engaging directly with customers to gather requirements and iterate on solutions.
Proven ability to operate effectively in early-stage, resource-constrained teams.
Nice to have:
Experience designing AI/human collaboration interfaces and practical AI × human workflows.
Experience with observability and monitoring for AI systems (metrics, dashboards, alerts).
Background in experimentation, model benchmarking, and systematic evaluation of AI solutions.
This role is based on-site in Munich, Bavaria, Germany. Candidates must be willing to relocate to or already be based in Munich. Visa sponsorship is not available for this position.
Compensation details are not specified for this role. You will be joining at an early and influential stage of the company, with the opportunity for meaningful equity and impact commensurate with seniority and experience.
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Posted: 2026-08-04
This is a founding engineering role at an early-stage healthtech / safety-critical AI startup building evidence infrastructure for AI model validation in medical diagnostics. As a Founding Member of Technical Staff, you will help shape the core reasoning methodology that underpins how AI safety claims are investigated, structured, and validated — across the full product lifecycle. You'll work directly alongside the founding team, contributing across technical domains and helping lay the infrastructure for the future of safety-critical AI.
Design and execute investigations into how AI models perform and fail across real-world scenarios.
Analyze input data, model outputs, and internal representations to evaluate data quality, generalization limits, distribution shift, subgroup performance, and demographic bias.
Surface failure modes and produce structured evidence that supports, challenges, or refines claims about model performance and safety.
Develop and evolve the company's evidence methodology — defining how claims, arguments, and evidence should be structured for rigorous AI validation.
Pressure-test assumptions, critique weak argument structures, and systematize repeated investigations into reusable methods, workflows, and platform primitives.
Write production-quality Python, build agentic workflows for evidence investigation, and prototype front-end features using AI tooling.
Contribute beyond your immediate technical domain — this is a founding role that requires ownership, versatility, and the willingness to challenge assumptions.
Required:
Degree in CS, mathematics, physics, engineering, or a related quantitative field — or equivalent demonstrated depth.
Strong ML, statistics, and data science fundamentals; ability to understand the math behind methods, identify broken assumptions, and reason about trade-offs.
Expert Python skills, spanning raw data analysis through to platform-level code others will rely on.
Strong engineering judgment on code structure, interface boundaries, and reusability trade-offs.
Demonstrated ability to operate as a founding-team-caliber contributor — taking end-to-end ownership and contributing across domains.
Strong cross-functional communication skills; able to present evidence, claims, and validation results to both technical and non-technical stakeholders.
Comfort using AI tooling as a primary mode of working.
Authorized to work in the United States without visa sponsorship; able to work on-site in Sunnyvale, CA.
Nice to Have:
3–5 years of professional ML experience, or a PhD in model evaluation, robustness, out-of-distribution detection, interpretability, or a related area.
Experience with AI/ML medical device submissions, FDA review processes, or other regulated environments (e.g., FDA 510(k), De Novo, EU AI Act).
Background in safety case methodology in aviation, automotive, healthcare, or other safety-critical fields.
Salary: $150,000 – $200,000 USD annually
Founding team equity and early-stage upside
On-site in Sunnyvale, CA, United States. This is a full-time, in-office role. Visa sponsorship is not available — candidates must be authorized to work in the US without sponsorship.
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Posted: 2026-08-04
Join a fast-moving, founder-led team at a Series A AI-powered industrial procurement SaaS company based in Munich. This role sits at the intersection of product, growth, and operations — you'll design and ship product-led acquisition strategies that create durable, scalable growth for the industrial procurement sector.
You'll move quickly from hypothesis to prototype to scale, owning high-leverage growth loops end-to-end and actively shaping company strategy while executing day-to-day. Expect to spend roughly 20% of your time on strategy (working closely with founders) and 80% executing independently with full ownership.
Identify and build the next compounding growth loop (e.g., supplier referrals, community effects, embedded workflows) end-to-end.
Own organic acquisition through technical SEO and AI-search (GEO) infrastructure to convert procurement queries into pipeline.
Concept and ship product-led wedges that drive user acquisition without proportional sales effort.
Run rapid 0-to-1 cycles: whiteboard → prototype → validate → scale — and pivot decisively when needed.
Build roadmaps and deliver outcomes with extreme ownership, without waiting for permission.
Contribute to an ego-free, collaborative culture that raises the bar for the whole team.
Must-haves (dealbreakers):
Able to work on-site in Munich 4+ days per week.
3+ years in growth or strategy roles delivering zero-to-one growth loops and scalable growth initiatives.
Proven track record of owning end-to-end growth roadmaps and executing autonomously.
Fluency in both German and English.
Required experience:
Building and owning an organic acquisition strategy, including technical SEO and AI-search (GEO) infrastructure.
Demonstrated ability to prototype, validate, and scale ideas quickly (whiteboard → prototype → validation → scale).
Leading product-led growth initiatives and launching product experiences that drive user acquisition.
B2B SaaS growth within industrial procurement or a similar enterprise procurement domain.
Zero-to-one growth projects in VC-backed startups or high-growth environments.
Building growth loops from scratch (supplier referrals, community effects, embedded workflows) and turning them into scalable pipelines.
Nice to have:
Familiarity with the European/DACH regional context and AI-first platform dynamics.
Experience operating at founder-level pace and comfort with ambiguity.
Ambition to found a company someday — this team actively backs founder-minded operators.
Competitive compensation package including equity.
Work alongside a high-calibre, founder-led team backed by top-tier European and global investors.
High-ownership role with significant impact on company strategy from day one.
Note: Visa sponsorship is not available for this role.
This is a full-time, on-site role based in Munich, Bavaria, Germany. You will be expected to be in the office 4 or more days per week. Remote work is not available for this position.
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Posted: 2026-08-04
We're a Series A/B AI-native financial planning & analysis (FP&A) SaaS company — a lean, high-output team of ~40 — looking for a Staff Fullstack Engineer to help lead platform development from the ground up. You'll work directly with the CEO, CTO, and engineering team to shape architecture, drive the product roadmap, and build software that has an outsized impact on finance teams at scale.
This is an early, high-leverage opportunity for an engineer who wants to be a true technical pillar: setting direction, raising the bar on engineering culture, and shipping product that matters.
Partner closely with leadership and teammates to prioritize and execute on the product roadmap.
Design, develop, and own complex features and software components end-to-end.
Deliver robust, scalable, and well-tested code across the full stack.
Help establish engineering best practices and lay the foundation for a high-performing, healthy team culture.
Collaborate with Design and Operations to continuously improve the platform day-to-day.
Must-haves (dealbreakers):
8+ years of professional software development experience.
3+ years of experience contributing to system design or architecture.
True full-stack proficiency — building features with TypeScript/JavaScript on the frontend and Node.js on the backend (or strong frontend/React focus with solid backend competency).
Strongly required:
Hands-on experience with React; ideally a well-balanced fullstack engineer or someone who skews frontend.
Proficiency with Google Cloud Platform (GCP) and BigQuery — ability to architect, deploy, and operate scalable cloud services.
Nice to have / valued:
Experience modeling, querying, and optimizing MongoDB schemas for performance at scale.
Strong testing discipline across unit, integration, and end-to-end tests; comfort with modern testing frameworks.
Track record of providing technical leadership and mentoring engineers.
Proven ability to collaborate with executive stakeholders (CEO/CTO) and cross-functional teams to define strategy and requirements.
Background at product-driven tech companies (e.g. enterprise software, data platforms, or consulting-adjacent SaaS).
Frontend: TypeScript, JavaScript, React
Backend: Node.js
Data / Cloud: GCP, BigQuery, MongoDB
Salary: $185,000 – $240,000 USD annually
Visa sponsorship is available.
Fully remote — open to candidates based in the United States, Canada, or Latin America.
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Posted: 2026-08-04
We're a Y Combinator–backed AI sales automation startup (Seed stage) building AI-driven infrastructure that helps distributors and manufacturers automate quoting and order processing. Our tight-knit team of ~15 is based in Munich, and we're hiring a Customer Support Engineer to own technical customer resolution end-to-end.
You'll sit at the intersection of product, engineering, and customers — debugging production issues, deploying AI agents to automate support workflows, and turning recurring problems into lasting product improvements. This is an on-site role with close daily collaboration with engineering and product.
Investigate and reproduce production issues across product features, data pipelines, integrations, and workflows.
Dive into logs, databases, customer examples, and the codebase to identify root causes — and fix issues directly when possible.
Own technical resolution end-to-end, from initial triage through to verified fix.
Communicate clearly with customers to understand problems and ensure they feel supported throughout the process.
Design and deploy AI agents that automate customer interactions and accelerate issue resolution.
Operate and manage AI agent teams that assist investigation and flag when core engineering input is needed.
Produce clear technical write-ups for escalations, including reproduction steps and relevant data.
Document recurring issues, build internal playbooks, and propose product or process improvements.
Work closely in person with the founding team, engineering, and product as the company scales.
Must-haves:
1+ years of experience in full-stack software engineering shipping production-grade code.
Hands-on experience with React, TypeScript, Python, and PostgreSQL in a full-stack environment.
Demonstrated ability to debug end-to-end across logs, databases, APIs, and unfamiliar codebases.
Experience owning technical customer resolution — investigation, reproduction, and working with product/engineering to implement fixes.
Experience designing or deploying AI-assisted support workflows or AI agents for customer support automation.
Comfortable communicating technical issues and resolutions to customers and non-technical stakeholders.
German language proficiency at B2 level or above (strong English also required for international collaboration).
Based in Munich or willing to relocate — this is a fully on-site role. No visa sponsorship available.
Nice to have:
Experience documenting recurring issues and building internal playbooks or runbooks.
Prior experience in a startup or small-team environment with close collaboration between customers, product, and engineering.
Background in enterprise software, ERP/CRM integrations, or B2B SaaS.
This is a fully on-site role based in Munich, Germany. Candidates must be located in Munich or willing to relocate. Visa sponsorship is not available.
Early-stage opportunity with direct impact on product, engineering, and customer outcomes.
Work in person with a high-calibre, international team in Munich.
Backed by top-tier investors at the Seed stage with strong early customer traction across distribution and manufacturing sectors.
Opportunity to shape how AI-assisted support is built from the ground up.
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Posted: 2026-08-04
This is a senior design leadership role at a fast-growing, Sequoia- and Index-backed AI procurement platform serving large industrial companies across Europe. The company is at Series A/B stage with ~150 employees and is rethinking how procurement works — combining human expertise with AI agents to make high-impact cost decisions legible, trustworthy, and actionable for industrial buyers.
As Head of Product Design, you will define how humans and AI agents collaborate across the product, build and lead a team of ~4 product designers, and establish design as a true strategic partner alongside product and engineering. This role has direct impact on profitability for large industrial customers and shapes the future of agent-native enterprise UX.
Location: Munich, Germany (hybrid on-site). No visa sponsorship available — right to work in Germany is required.
Define the interaction paradigm for an agent-native product, where AI agents execute procurement workflows and buyers supervise, steer, and handle exceptions.
Turn a screen-first product into an agent-driven experience — building the mental models, UI patterns, and frameworks that make complex decisions legible and trustworthy for non-analyst users.
Translate technical procurement concepts (e.g. should-costing, raw material indices, contract leakage) into accessible, actionable UX.
Own and evolve the design system and component architecture to support agent-driven development and rapid iteration.
Build, hire, and lead a team of ~4 product designers — setting standards for craft, speed, and strategic impact.
Establish design as a strategic partner in the product trio alongside product management and engineering.
Drive company-wide user understanding through UX research best practices and ongoing advocacy for real user problems.
Collaborate closely with executive leadership and cross-functional stakeholders (PM, Engineering, C-suite).
Required:
6+ years of product design experience, with at least 2+ years in design leadership and people management at high-growth technology companies.
Deep experience designing data-heavy, workflow-driven products — able to make information density an asset rather than a liability.
Proven ability to build and maintain design systems and component architectures for complex software products.
Genuine fluency with AI as a design material — a clear, articulate point of view on LLMs, agents, and automation in product UX.
Demonstrated experience designing UX for AI/LLM-driven products and agent-driven workflows, translating complex AI concepts into clear UI for non-experts.
Strong systems thinking: you design in frameworks and patterns, not just individual screens.
Demonstrated ability to move fluidly between strategic leadership and hands-on craft.
Strong collaborator with product and engineering, with solid stakeholder management and communication skills up to C-suite level.
Bachelor's or Master's degree in Design, Human-Computer Interaction, or a related field.
Fluent in English (written and spoken).
Nice to have:
German language skills (not required).
Background in enterprise procurement, supply chain, or industrial software domains.
Experience at companies recognised for design excellence.
Location: Munich, Bavaria, Germany
Work arrangement: Hybrid on-site (Munich office)
Visa sponsorship: Not available — candidates must have the right to work in Germany
A Series A-stage AI/ML SaaS scaleup in the procurement intelligence and supply chain management space, headquartered in Munich. The platform serves large industrial customers across Europe, using AI agents to automate and optimise procurement workflows — from spend and cost intelligence to supplier management, sourcing, and compliance. Backed by top-tier European and global venture investors, the team is ~150 people strong and growing fast.
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Posted: 2026-08-04
Join a fast-growing, early-stage AI software company automating inside sales processes for distributors and manufacturers across Europe. As an Account Executive, you'll own the full sales cycle — from first meeting to close — helping Munich-based customers unlock productivity gains through AI-powered quoting and order automation. You'll be an early, influential member of the commercial team with a clear path to build and lead.
The company is backed by top-tier investors (including a leading US accelerator) and is on a strong growth trajectory in the B2B SaaS space, serving industries such as HVAC, electrical distribution, and building materials.
Qualify and close new mid-market and enterprise customers end-to-end.
Partner closely with the prospecting team to manage your pipeline and ensure a seamless customer journey.
Guide prospects through their evaluation process, build strong relationships, and develop compelling business cases that clearly demonstrate ROI to executive stakeholders.
Conduct product demos, handle negotiations, and close deals — while continuously refining the sales process.
Design and implement strategies to win key accounts and expand into new markets.
Gather and share customer insights with the engineering team to inform product development.
Help build and train a high-performing sales team and scalable sales processes as the company grows.
Required:
1+ years of closing experience in B2B SaaS or tech sales.
Proven track record of exceeding quota in mid-market or enterprise segments.
Experience owning end-to-end SaaS sales cycles: discovery, demos, negotiations, and closing.
Native German speaker with fluent English — both are essential for this role.
Proficiency with CRM and sales automation tools (e.g., Salesforce or equivalent) for pipeline management and forecasting.
Ability to build and present business cases demonstrating ROI to senior decision-makers.
Nice to Have:
Background or familiarity with construction, supply chain, or trades industries.
Experience at a high-growth B2B SaaS startup.
Base + variable salary range: $70,000 – $130,000 USD annually (or equivalent).
Visa sponsorship available.
Opportunity for early equity and career growth in a scaling team.
On-site in Munich, Germany.
This is not a remote role.
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Posted: 2026-08-04
This is the first dedicated Revenue Operations hire at a fast-growing, Series A-backed AI SaaS company in the industrial procurement intelligence space. You'll partner directly with senior revenue leadership — including the Revenue Operations Lead and Managing Director of Revenue — to design, build, and scale the operational backbone that powers the entire revenue organisation. This is a high-ownership, high-impact role for someone who thrives in ambiguity and wants to shape a revenue function from the ground up.
Partner with revenue leadership to build and scale revenue systems across the full go-to-market motion.
Lead strategic projects that reshape the sales motion and support enterprise and international expansion.
Own and maintain end-to-end operational infrastructure spanning business development, AE pipeline management, customer onboarding, and expansion.
Build reporting and analytics frameworks that surface actionable patterns and inform strategic decisions.
Collaborate cross-functionally with marketing, business development, account executives, customer experience, and expansion teams to identify and remove friction.
Design and implement enablement programmes, AI tooling, and onboarding solutions that multiply team output.
Contribute to the design of compensation and equity structures in support of revenue leadership.
Must-haves (dealbreakers):
5+ years of experience in Revenue Operations or an equivalent role building and delivering revenue processes and systems end-to-end.
Proven track record operationalising revenue processes across the full cycle: outbound/business development, AE pipeline, customer onboarding, and expansion.
Full fluency in both German and English (written and spoken).
Willingness and ability to work from the Munich office 4+ days per week.
Required skills & experience:
Strong systems thinker: you design structures and operationalise them yourself, end-to-end.
Demonstrable experience delivering measurable revenue improvements in a high-growth, VC-backed startup environment — including building from zero and supporting rapid scaling.
Comfortable working closely with founders, managing directors, and revenue leadership to define and execute strategy.
Hands-on experience enabling or implementing AI tooling and automation within revenue operations (onboarding, enablement, tooling).
Track record of extreme ownership: you identify problems, build solutions, and ship them without waiting for permission.
Nice to have:
Prior founder experience or a demonstrated entrepreneurial orientation and ambition to start or back a company in the future.
This role is based on-site in Munich, Germany (4+ days per week in office). Visa sponsorship is not available for this position.
Competitive compensation package including salary and equity. Specific details will be discussed during the interview process.
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Posted: 2026-08-04
A fast-growing, pre-seed healthtech startup based in Helsinki is hiring its first dedicated marketer — a founding hire who will own growth, go-to-market strategy, and brand storytelling from day one. This is a rare opportunity to build the marketing function entirely from scratch, shape the company narrative, and directly drive revenue and user growth at an early-stage company operating in the personalized health and diagnostics space.
This is a hands-on, high-ownership role with direct partnership with leadership. If you thrive in fast-paced environments, love building things from zero, and have a strong track record in B2C growth marketing, this role is for you.
Define and execute GTM strategy across multiple channels to drive revenue and user growth.
Lead brand storytelling and positioning — create a compelling, differentiated narrative in the health and wellness space.
Own and manage paid advertising (Google Ads, Meta, LinkedIn), social media, partnerships, and influencer programs.
Collaborate cross-functionally with product, sales, design, and customer success teams.
Set and manage marketing budgets, forecast outcomes, and measure ROI across all channels.
Build, scale, and mentor the marketing function as the company grows.
Develop and deploy high-impact marketing campaigns and performance dashboards.
Must-haves:
2–5 years of experience in B2C growth marketing, sales, or adjacent fields.
Demonstrable experience building and/or leading a marketing function.
Proficiency in digital marketing channels — Google Ads, Meta, and LinkedIn.
Strong brand storytelling and positioning skills.
Proven track record defining and executing multi-channel GTM strategies that drive revenue growth.
Experience with influencer and partner marketing, including campaign management and negotiation.
Proficiency with advanced marketing analytics, attribution modeling, and CRM/tooling (e.g., GA4, dashboards, CRM integrations).
Experience managing marketing budgets, forecasting, and measuring ROI.
Nice to have:
Strong analytical skills for testing and iterating on marketing strategies at scale.
Experience in healthtech, wellness, diagnostics, or subscription/membership-based B2C products.
Background at a similarly early-stage startup in the health or life sciences space.
Salary: $35,000 – $70,000 USD annually (commensurate with experience)
Early-stage equity opportunity (founding team hire)
Visa sponsorship available
On-site in Helsinki, Finland
This is not a remote role — regular in-person presence is expected
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Posted: 2026-08-04
We're a product-focused AI platform and product studio based in Munich, helping hundreds of SMEs integrate AI into their core workflows. Our platform already serves a large and fast-growing user base, and we're scaling toward the next order of magnitude. We're looking for a Senior Full Stack Engineer to join our engineering team and own some of the hardest architectural challenges we face — from multi-terabyte data synchronisation to secure, high-throughput sandbox infrastructure.
This is a hybrid role based in Munich, Germany. No visa sponsorship is available — candidates must be authorised to work in Germany without employer sponsorship.
Own the most complex architectural problems across the platform, including multi-terabyte data synchronisation and secure sandbox infrastructure.
Architect, build, and ship high-quality full-stack features using React and TypeScript, with a strong focus on long-term scalability and UX.
Design and implement systems to synchronise and index terabytes of client data while enforcing fine-grained permissions.
Build infrastructure to process millions of LLM calls per month with high reliability and security.
Implement scalable, secure code sandbox solutions capable of spawning thousands of sandboxes per day.
Create base infrastructure and tooling for fast custom integrations, enabling new systems to be connected in hours.
Collaborate on technical roadmaps and align on architectural decisions with the broader engineering team.
Debug production incidents, identify root causes, and implement durable fixes to keep the platform stable.
Mentor junior engineers and raise the bar across the codebase through constructive, thorough code reviews.
Continuously improve development processes, code quality standards, and overall team performance.
Required
5+ years of professional experience with React and TypeScript (dealbreaker).
7+ years of overall professional software engineering experience.
2+ years of backend development experience with Node.js/Express or equivalent.
Proficiency with containerisation and orchestration using Kubernetes and Docker.
Hands-on experience with PostgreSQL, tRPC, and modern CI/CD pipelines.
Proven track record designing, scaling, and maintaining complex software architectures for high-growth products.
Experience operating at scale: large dataset synchronisation, high-volume API/LLM calls, secure multi-tenant systems.
Experience mentoring junior developers or leading a small development team.
Ability to own a product roadmap, drive technical decisions aligned with product goals, and collaborate effectively with product managers and designers.
Excellent written and verbal communication skills in a cross-functional environment.
Authorised to work in Germany without employer visa sponsorship.
Nice to Have
Familiarity with AI platforms or AI workflow tooling.
Experience in the B2B SaaS or AI/ML industry.
Frontend: React, TypeScript
Backend: Node.js, tRPC, PostgreSQL
Infrastructure: Kubernetes, Docker, CI/CD
Salary range: $70,000 – $90,000 per year
Join a close-knit, high-ownership engineering team where your architectural decisions have real impact
Work on an AI platform at meaningful scale with a growing SME customer base
Hybrid work arrangement in Munich
This position is based in Munich, Germany and follows a hybrid working model. Candidates must be located in or willing to relocate to Munich. Visa sponsorship is not available.
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Posted: 2026-08-04
Join a growing engineering team at a Munich-based AI platform and product studio building the core infrastructure that enables thousands of users to interact with AI every day. You'll work across the full stack to deliver reliable, secure, and performant features — from synchronizing large client datasets and running massive LLM workloads to supporting rapid custom integrations.
This is a hybrid role based in Munich, Germany, offering meaningful product ownership and the opportunity to shape how businesses adopt and leverage AI.
Build and ship high-quality full-stack features using TypeScript and React, with a focus on seamless user experience.
Design and implement robust backend systems capable of handling massive data scale and millions of API requests.
Take full end-to-end ownership of features — from concept and development through deployment and ongoing operation.
Debug production incidents, identify root causes, and implement lasting solutions.
Mentor junior engineers and raise the bar through thorough, constructive code reviews.
Synchronize and index terabytes of client data while enforcing fine-grained permissions.
Operate and optimize systems that process millions of LLM calls per month with high reliability.
Architect and scale environments that spawn thousands of secure code sandboxes per day.
Build foundational infrastructure that enables the integrations team to onboard new systems quickly.
Collaborate on AI integrations to shape how users interact with the platform.
Required (dealbreakers):
3+ years of professional software engineering experience delivering full-stack features using React, TypeScript, and PostgreSQL in Dockerized environments with CI/CD pipelines.
Experience with Kubernetes-based deployment and container orchestration.
Proven track record delivering production-grade backend services at scale — high data volume, millions of API requests, with a strong focus on reliability and security.
Strong plus:
Experience with backend frameworks such as Python, tRPC, or similar technologies.
Hands-on experience with GenAI platforms or LLM integrations.
Experience mentoring junior engineers and leading code reviews.
Comfortable thriving in a fast-paced, high-growth product environment.
Location: Munich, Germany
Work style: Hybrid (on-site presence in Munich required)
Visa sponsorship: Not available — candidates must have the right to work in Germany
Salary range: €60,000 – €80,000 per year (or equivalent), depending on experience
Full-time position with meaningful ownership of your work
Opportunity to work at the intersection of product engineering and applied AI
Collaborative team environment with experienced engineers from top-tier technology and research organizations
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Posted: 2026-08-04
We're an early-stage AI-powered pricing optimization SaaS startup helping B2B companies turn pricing from a static exercise into a continuously improving, data-driven system. Our platform spans the full pricing lifecycle — from packaging and price architecture to deal execution and sales coaching — and we're growing fast.
We're looking for a Pricing Architect based in Amsterdam to own high-impact pricing engagements with our customers end-to-end. This is a senior, client-facing role at the intersection of commercial strategy, AI, and SaaS monetization. You'll work directly with C-suite stakeholders and cross-functional teams to design and deliver pricing strategies that drive real revenue outcomes.
Lead customer pricing engagements independently — from initial discovery through to a live pricing and proposition model.
Design segmentation frameworks, packaging structures, price metrics, and monetization logic tailored to each customer's business context.
Apply advanced pricing methods including willingness-to-pay analysis, price elasticity modeling, discount architecture, and usage-based or consumption pricing.
Present findings and recommendations confidently to C-level executives and cross-functional stakeholders.
Leverage AI and GenAI/LLM tools actively in your day-to-day work to accelerate analysis and insight generation.
Use data (spreadsheets, SQL) to dig into pricing analysis and support evidence-based recommendations.
Coach and mentor colleagues, sharing pricing expertise across the team.
Must-haves:
5–7+ years of experience in pricing, commercial strategy, or revenue management — from a Tier 1 strategy consulting background or a pricing/revenue role within a tech or SaaS company.
Deep expertise in pricing and commercial value creation: segmentation, packaging, price metrics, discounting, and willingness-to-pay methodologies.
Strong client-facing skills; comfortable owning engagements and building credibility with C-level and cross-functional audiences.
Genuine enthusiasm for AI and confidence in steering AI-driven work (no need to build models yourself).
Hands-on use of GenAI/LLM tools in your current workflow.
Solid data skills — proficient with spreadsheets and SQL for pricing analysis.
Professional fluency in English.
Must be authorized to work in the Netherlands — visa sponsorship is not available.
Nice to have:
Experience coaching or mentoring junior team members.
Background in SaaS monetization models (usage-based, seat-based, hybrid, outcome-based).
Competitive salary commensurate with experience.
Meaningful equity through an Employee Stock Option Plan (ESOP).
This is an on-site role based in Amsterdam, Netherlands. Candidates must be based in or willing to relocate to Amsterdam. No visa sponsorship is available — you must already be authorized to work in the Netherlands.
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Posted: 2026-08-04
This is a founding Solutions Engineer position at a fast-growing, early-stage AI startup in Munich. The company builds AI-powered software that automates quoting and order processing for distributors and manufacturers — integrating directly into enterprise ERP and CRM systems to help sales teams close more deals with less manual effort.
As the first Solutions Engineer, you will be the technical cornerstone of enterprise sales: owning proof-of-concepts, resolving integration and architecture concerns, and translating complex product capabilities into tangible value for customers. You will sit at the intersection of sales, product, and engineering, directly shaping how the company wins complex deals and influencing the product roadmap.
Own the technical side of every major deal, from the first demo through to a signed customer.
Deeply understand customer workflows to identify the use cases that best demonstrate product value in their specific context.
Join sales conversations as the credible technical counterpart on topics including integrations, data handling, security, and architecture — resolving blockers that stand between the customer and a buying decision.
Build demos and proof-of-concepts on real customer data, creating prototypes that prove the product works in practice, not just in ideal conditions.
Feed structured deal insights back to the product and engineering teams, distinguishing between demo-only requests, quick customer-specific builds, and core product needs.
Required
2+ years of experience in Solutions Engineering, Technical Customer Success, Technical Consulting, or a similar customer-facing technical role.
Native-level German and strong English communication skills — able to present confidently to senior stakeholders and stay composed when a live demo is put to the test.
Proficiency in JavaScript and Python; comfortable writing code to build convincing proofs and prototypes.
Solid experience with APIs, integrations, and system/integration architecture (familiarity with ERP or CRM ecosystems is a strong plus).
A track record of identifying the real problem behind a customer request and making abstract products feel tangible through demos that help close deals.
Commercial judgment: ability to read a room, spot the real blocker, and move deals forward.
Willingness to work fully on-site in Munich in a high-intensity, early-stage environment.
Nice to Have
Background in industrial, manufacturing, or distribution sectors.
Experience with enterprise security standards, GDPR considerations, or data compliance discussions in a sales context.
Prior experience in an early-stage startup where SE playbooks didn't yet exist.
Salary: €90,000 – €200,000 per year (depending on experience).
Visa sponsorship is available.
High-ownership role with significant influence over product direction and company trajectory.
Munich, Germany — fully on-site.
This is not a remote or hybrid role; in-person presence is a core part of the culture.
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Posted: 2026-08-04
This is a rare founding GTM opportunity at a fast-moving pre-seed healthtech startup based in Berlin. You'll be the first dedicated B2B Sales hire — there is no playbook yet, and your job is to write it. You'll own the full commercial motion from day one: building pipeline, closing deals, and feeding real market signal back into product and pricing.
The company offers a personalized health operating system built around comprehensive biomarker diagnostics, clinician-reviewed insights, and year-round concierge support. On the B2B side, the platform powers corporate wellness programmes, insurer partnerships, clinic integrations, and a Diagnostics-as-a-Service API for partners. You'll be selling into employers, insurers, clinics, and corporate wellness buyers — deal sizes ranging from €10k to €500k+.
This role requires full-time, on-site presence in Berlin (Monday–Friday). Remote work is not available for this position.
Build and own the end-to-end B2B pipeline — outbound prospecting, inbound handling, and strategic partnerships — entirely autonomously.
Run the full sales cycle: discovery → demo → negotiation → close, managing complex multi-stakeholder deals.
Set up and operate the sales tech stack from scratch (CRM, enrichment, automation, sequencing, and signal tooling).
Partner directly with the founding team to define ICP, refine pricing and packaging, and shape go-to-market strategy for B2B channels.
Capture and relay voice-of-customer insights to inform product roadmap and operations.
Develop scalable outbound motions using AI-first workflows and data-driven approaches.
Must-haves (dealbreakers):
2+ years closing complex B2B deals (€10k–€500k+) with a proven, demonstrable track record — preferably in healthtech, corporate benefits, insurance, or premium SaaS.
Native German and fluent English — the majority of prospects are German-speaking; German proficiency is mandatory.
Eligible to work in Germany without visa sponsorship (no visa sponsorship is available).
Proven zero-to-one or early-stage experience — you've built or grown something from scratch, not just scaled a playbook at a later-stage company.
Comfortable operating as a founding seller or first AE in a founder-led, fast-moving environment.
Required skills & experience:
Hands-on proficiency with modern sales tooling: Attio, HubSpot, Clay, Apollo, n8n, Lemlist, Notion, Linear and AI-first workflows.
Ability to build and manage a full B2B pipeline autonomously (outbound, partnerships, inbound).
Experience negotiating pricing, packaging, and contracts with founders and executive stakeholders.
Strong technical fluency — you can configure tooling, build automations, and iterate quickly without waiting for support.
Nice to have:
Background or genuine interest in healthtech, corporate benefits, or insurance.
Experience translating customer feedback into product and operational improvements.
Track record with AI-augmented or data-driven sales workflows.
All-in OTE: €50,000–€60,000 annually (base + variable; total package)
Founding-team level ownership and influence over company direction
Direct collaboration with co-founders on strategy, product, and pricing
Berlin, Germany — on-site, Monday to Friday
In-person presence is a firm requirement for this role
No visa sponsorship available; candidates must already be eligible to work in Germany
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Posted: 2026-08-04
We're a fast-growing, post-seed AI SaaS company bringing modern sales intelligence to the wholesale distribution industry — a large, underserved market ripe for transformation. As an early Business Development Representative on a small, hands-on go-to-market team, you'll own prospecting end-to-end, help shape how we sell, and gain rare early-stage exposure to company-building and cross-functional decision-making. This is a ground-floor opportunity for someone eager to build something meaningful from scratch.
Own the prospecting pipeline end-to-end — from outreach to closing — via phone, email, and social media with wholesale decision-makers.
Test and optimize outbound and inbound lead generation strategies, iterating quickly and cutting what doesn't work.
Become a genuine product and market expert, using deep knowledge of the wholesale sector and customer needs to persuade rather than just pitch.
Independently research B2B prospects and build compelling sales materials and presentations.
Write and refine call scripts and communication templates, and share learnings through internal training sessions.
Work AI-native: actively identify and adopt AI tools to move faster and experiment with new approaches.
Take early ownership of messaging, GTM strategy, and customer-facing processes in a post-seed environment.
Required:
Professional fluency in both German and English (written and verbal) — this is a dealbreaker requirement.
Eligibility to work in Germany without visa sponsorship (visa sponsorship is not available).
Genuine motivation to build from scratch and get your hands dirty in an early-stage environment.
Strong customer-facing skills — you enjoy talking to customers, can convince people, and are reliable and goal-oriented.
Resilience and a positive attitude when facing challenges.
Tech-savvy mindset and/or a strong interest in the industrial or wholesale sector.
Nice to Have:
Some experience in B2B SaaS sales or outbound prospecting (cold outreach).
Comfort with fast-paced, early-stage startup selling cycles.
Familiarity with the wholesale distribution industry.
This role is based on-site in Berlin, Germany. Candidates must be based in Berlin or willing to relocate. Visa sponsorship is not provided.
Be one of the earliest GTM hires at a high-conviction AI startup targeting a large, underserved vertical.
Direct impact on company direction — your work will shape messaging, sales playbooks, and GTM strategy.
Work alongside a team with backgrounds at top-tier consulting and enterprise software firms.
Gain cross-functional exposure and early career ownership rarely available at larger companies.
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Posted: 2026-08-04
Join a fast-growing, AI-native B2B go-to-market agency based in Berlin that is redefining how tech companies scale in the DACH region. Since launching, the team has grown to 30+ people and works with a broad portfolio of B2B tech clients — helping them generate qualified pipeline and close revenue faster.
As an Account Executive, you own the full sales cycle from pipeline to close. Lead inflow is fully handled by a dedicated Pre-Sales team, so you can focus entirely on what you do best: running high-quality conversations with senior stakeholders and closing deals.
Take full ownership of the sales cycle — from first qualified conversation through to signed contract
Lead sales discussions with B2B decision-makers at C-level and senior management
Develop and present tailored proposals and manage contracts
Maintain accurate and up-to-date CRM records throughout the pipeline
Collaborate closely with the Pre-Sales team and internal stakeholders to ensure a seamless client experience
Required
2–4 years of experience in B2B sales, ideally within SaaS or tech
Proven track record of consistently closing deals and engaging confidently with senior stakeholders
Ability to quickly grasp complex go-to-market challenges and translate them into a clear, actionable strategy
Strong self-motivation and a genuine revenue orientation
German at C2 level; strong English communication skills
Based in Berlin or willing to work from the Berlin office (hybrid arrangement)
Nice to Have
Background in performance marketing, lead generation, or GTM services
Experience selling to or within B2B tech companies
Salary: €70,000 – €90,000 per year
Structured 1:1 coaching program from day one
Public transport subscription (Deutschlandticket) included
Urban Sports Club M membership
Apple hardware setup and a dedicated desk in the Berlin office
Clear career progression path toward Senior AE or a leadership role
Regular team events
Berlin, Germany — hybrid working model (3 days in-office, 2 days remote)
No visa sponsorship available
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Posted: 2026-08-04
We're a fast-growing, Y Combinator-backed startup building an agentic operating system for enterprises — enabling large organizations to orchestrate AI agents that automate complex, mission-critical workflows. We're hiring a Forward Deployed Engineer based in Munich to embed directly with our largest DACH customers and help them become genuinely AI-native.
You'll work alongside our Enterprise AI Transformation Lead, acting as the on-the-ground technical expert: scoping, building, and shipping production-grade agents and integrations that deliver measurable value — and feeding those learnings back into the core product. This is a high-ownership, high-impact role at the intersection of elite engineering and customer partnership.
Significant travel across the DACH region is expected. You must be based in Munich or ready to relocate.
Embed on-site with major DACH enterprise accounts, running workshops, hackathons, and implementation sprints.
Partner with customer CTOs and platform teams as a technical peer and strategic sparring partner.
Scope, build, integrate, debug, and teach teams to adopt production AI agents and multi-step workflows.
Ship end-to-end, high-leverage use cases: complex agents, custom integrations, MCP servers, and orchestrated workflows.
Leave behind systems customers can own and operate independently — no hand-holding required.
When platform limits appear, work directly with our engineering team and write fixes yourself.
Identify product blockers and implement customer-driven improvements that push the platform forward.
Automate your own work by building agents that eliminate manual, repetitive tasks.
Must-haves:
3+ years of enterprise software engineering experience, with a track record of delivering production-grade AI agentic workflows for enterprise customers.
Hands-on experience shipping agentic AI systems, tool-use loops, and LLM-powered features that operate reliably under load.
Strong full-stack engineering skills — capable of scoping and implementing end-to-end solutions, including integrations with external systems and multi-step workflows.
Experience running on-site engagements with large enterprise customers (DACH preferred): workshops, hackathons, implementation sprints.
Ability to scope a complex use case in a customer meeting and deliver end-to-end — fast and pragmatically.
Experience building custom integrations with enterprise systems and MCP servers for agent deployment.
Native-level German proficiency — this is a dealbreaker requirement.
Based in Munich or genuinely willing to relocate; comfortable with frequent DACH travel.
Nice-to-haves:
Go programming language experience.
Founder or early-employee experience at a startup.
Experience with AI-assisted development tooling (e.g. Claude Code, Cursor, or similar) for building agents.
Beyond the résumé, we value: high agency, high energy, low ego, sharp communication, and a strong ownership mindset. We prioritize slope and values alongside years of experience.
Salary: $80,000 – $150,000 USD annually (or equivalent), depending on experience.
Equity participation in a well-funded, early-stage company.
Visa sponsorship: Not available — candidates must have the right to work in Germany.
On-site, Munich, Bavaria, Germany.
Significant travel across the DACH region (Germany, Austria, Switzerland) is a core part of the role.
The company is headquartered in San Francisco with a growing DACH presence.
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Posted: 2026-08-04
An early-stage AI-native procurement SaaS startup based in Berlin is looking for a Founding Engineer to join its founding product team. You'll help build an AI-first platform that connects procurement and category managers to real-time supplier data and enterprise systems. This is a high-ownership, high-impact role: you'll shape the product, the architecture, and the engineering culture from the ground up — shipping daily and iterating directly with customers.
This is an on-site role in Berlin. No visa sponsorship is available — candidates must be eligible to work in Germany without employer sponsorship.
Own core product areas end-to-end, from AI agent orchestration to the interfaces that category managers use daily.
Design reliable LLM workflows with evaluation loops, guardrails, and observability that hold up in production.
Build real-time supplier data pipelines, normalization layers, and integrations with enterprise ERP systems.
Ship to production continuously and collaborate directly with customers to iterate based on real feedback.
Make architectural decisions across the full stack, balancing performance, security, and developer experience.
Define engineering culture, tooling, and processes as the team grows.
Contribute to the product roadmap and work closely with founders on major technical decisions.
Mentor teammates and grow into an engineering leadership path as the company scales.
Required skills & experience:
Strong full-stack foundation with attention to both interfaces and back-ends, and the seam between them.
Proficiency in TypeScript (front-end and back-end) and Python; experience with Next.js and modern APIs.
Hands-on experience building SaaS products end-to-end in a startup environment.
Hands-on experience with LLMs, retrieval, and embeddings, including trade-off reasoning around latency, cost, and quality.
Proven ability to design and operate production-grade AI/ML workflows with monitoring and safety guardrails.
Experience building data pipelines, normalization, and integrations with enterprise systems.
Domain knowledge in ERP, procurement, or related enterprise software.
Strong written and verbal communication skills; comfortable working directly with customers and cross-functional teams.
Ownership mindset — thrives in ambiguity, defines what to build as well as how to build it, and defaults to shipping and learning fast.
Nice to have:
Specific experience in procurement technology or supply chain platforms.
Background in founding-team or seed-stage environments.
Berlin, Germany — on-site
Visa sponsorship is not available; applicants must have existing eligibility to work in Germany.
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Posted: 2026-08-04
This is a rare opportunity to join a seed-stage AI infrastructure company as a Founding Engineer — one of the earliest technical hires working directly alongside the founders. You'll help build a novel infrastructure product that serves as the backbone for next-generation AI applications: coding assistants, agent orchestration systems, and beyond.
You'll have a direct hand in shaping the company's technical direction, architecture decisions, and culture. If you're motivated by deep ownership, fast learning, and building systems that matter at scale, this role is for you.
Design and build core backend services in Go (Golang) that handle high-traffic, low-latency workloads at scale
Architect and evolve a pragmatic microservices platform running on Kubernetes — and redefine the stack as needs grow
Build and maintain high-quality API platforms with a focus on reliability, performance, and developer experience
Implement and optimise distributed caching and database layers (SQL, NoSQL, distributed caches)
Profile and tune systems for performance under production-scale, high-traffic conditions
Contribute to auxiliary and ML/AI services in Python where needed
Work closely with founders to influence product direction and technical roadmap
Required:
5+ years of experience building backend services in a compiled language — Go (Golang) strongly preferred
Proven experience with distributed systems design and scalability
Strong expertise in databases and caching systems (SQL/NoSQL and caching layers); ability to select and apply the right tool for the job
Kubernetes expertise in production environments
Experience building or designing API platforms with a strong focus on quality and design
Experience with performance profiling and optimisation for high-traffic systems
Background in early-stage startups or greenfield/founding-engineer-type projects
Ability to design both scalable and pragmatic architectures appropriate to the product stage
Deep understanding of concurrency and when/how to apply it
Strong grasp of tradeoffs between quality, speed, and completeness — you know that "minimal" ≠ "broken"
Self-starter who learns new technologies independently and proactively
Nice to Have:
Familiarity with LLM ecosystems, AI gateway concepts, or ML/AI service infrastructure
Experience at high-calibre engineering organisations (e.g. large cloud providers, enterprise software companies)
Ambitions to found your own startup someday — we love that energy
Core services: Go (Golang)
Auxiliary/ML services: Python
Infrastructure: Kubernetes (microservices architecture)
Data: SQL databases + distributed caches
Expect this list to evolve — you'll likely be the one driving those changes.
Generous total compensation package
Significant equity stake — meaningful ownership from day one
On-site in London, United Kingdom
Visa sponsorship is not available — candidates must have the right to work in the UK
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Posted: 2026-08-04
An early-stage B2B SaaS company in the procurement AI space is looking for a driven Founder's Associate Intern / Working Student to join the founding team in Berlin. You'll work directly with the CEO to build and execute the enterprise sales playbook from the ground up — running high-volume outbound outreach to procurement leaders at industrial manufacturers and helping develop the go-to-market engine.
This is a hands-on, high-ownership role for someone early in their career who wants to learn enterprise sales from first principles at a fast-moving startup. You will be expected to be based in Berlin and work primarily from the office (hybrid possible).
Run outbound outreach at scale across email and LinkedIn to fill the top of the pipeline with qualified enterprise conversations.
Research target accounts from the ICP list and identify the right contacts and trigger events for timely outreach.
Write personalized cold emails and LinkedIn messages aimed at procurement leaders at industrial manufacturers — in both German and English.
Manage and execute multi-touch sequences and follow-ups to maximize reply and conversion rates.
Track open rates, reply rates, and conversion metrics; run A/B tests to improve performance weekly.
Enrich, maintain, and keep target account data clean and actionable in the CRM.
Prepare meeting materials including competitive research, company briefings, and tailored one-pagers.
Design and iterate on messaging experiments to inform the company's GTM playbook.
Sit in on strategy discussions, product demos, and investor conversations to gain full context.
Take on ad-hoc startup tasks such as event prep, partnership research, market analysis, or investor deck updates as needed.
Must-haves:
Based in Berlin and available to work from the Kreuzberg office (hybrid allowed).
Proven experience with outbound outreach at scale for enterprise customers — researching target accounts, crafting personalized messages, and managing multi-touch sequences (email + LinkedIn).
Strong professional writing in both German and English — able to write a cold email in German to a Head of Procurement and an investor update summary in English.
Current student or recent graduate in business, engineering, or a similarly rigorous field.
Familiarity with CRM systems (e.g., HubSpot, Salesforce) for data enrichment, outreach tracking, and pipeline hygiene.
Comfortable taking on repetitive, high-standard work independently and iterating on outreach performance.
Entrepreneurial mindset — evidence of building, organizing, or starting something (club, side project, startup, etc.).
Willingness to learn fast and take on whatever the company needs in a startup environment.
Nice to have:
Some exposure to procurement processes or procurement domain knowledge.
Experience or interest in B2B enterprise sales or AI software.
Berlin, Germany (Kreuzberg) — on-site, hybrid possible.
Candidates must be based in Berlin and available to work from the office regularly.
Visa sponsorship is not available for this role.
Internship / Working Student position.
Compensation details to be discussed during the interview process.
High exposure to all areas of an early-stage startup — sales, strategy, product, and fundraising.
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Posted: 2026-08-04
Join a fast-growing AI-powered sales enablement platform built specifically for the construction industry. As a Sales Development Representative (SDR) for the DACH region, you will be the first point of contact for prospective customers, helping construction sales teams discover how AI-driven revenue engineering can transform the way they identify, qualify, and win new projects.
This is an exciting opportunity for an early-career sales professional to make a real impact at a well-funded ConTech SaaS company with a strong AI foundation and a mission-driven team.
Proactively identify and engage prospects in the DACH region that match the ideal customer profile.
Execute outbound prospecting through cold calls, emails, and other outreach channels to generate qualified pipeline.
Articulate the value of an AI-powered revenue engineering platform to construction industry decision-makers.
Qualify inbound and outbound leads and book discovery meetings for the Account Executive team.
Maintain accurate and up-to-date records in the CRM (e.g. HubSpot or Salesforce) to support pipeline management.
Collaborate cross-functionally with marketing, sales, and product teams to refine messaging and targeting.
Contribute to building long-term partnerships with customers across Germany, Austria, and Switzerland.
Required:
Fluent German language proficiency (C1/C2) — essential for the DACH market.
Business-level English proficiency.
0–2 years of experience in a direct sales, SDR, or outbound prospecting role.
Hands-on experience with CRM tools (e.g. HubSpot, Salesforce) for lead and pipeline management.
Proven ability to perform cold outreach and qualify prospects effectively.
Excellent written and verbal communication skills; comfortable collaborating across teams.
Based in Germany (Munich, Berlin, or Hamburg) or willing to relocate — proximity to DACH customers is important.
Nice to Have:
Familiarity with the construction industry, construction tech, or B2B SaaS sales.
Experience with sales engagement or AI-driven prospecting tools (e.g. Apollo.io, Clay, Outreach, or similar).
Salary range: $45,000 – $60,000 per year (USD equivalent).
Visa sponsorship is available for eligible candidates.
Hybrid work arrangement based out of Munich, Germany.
This is a hybrid role based in Munich, Germany. Candidates located in or willing to relocate to Munich, Berlin, or Hamburg are encouraged to apply. Visa sponsorship is available.
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Posted: 2026-08-04
A fast-growing, product-focused AI startup in the enterprise sales automation space is looking for a Full-Stack Engineer to build AI-powered systems end-to-end. This is a hands-on, high-ownership role suited to engineers with a founder mindset who thrive in a fast-paced environment and take pride in shipping complex, scalable web applications.
You'll be joining a small, senior team building intelligent software that automates quoting and order processing workflows for distributors and manufacturers — integrating with major ERP and CRM systems and leveraging cutting-edge ML/NLP technology.
Own the architecture and design of AI-powered systems end-to-end.
Collaborate with other engineers across the full stack.
Build data pipelines to process large-scale unstructured data efficiently.
Deploy and manage software in cloud environments.
Make the backend scalable, stable, and efficient.
Develop scalable and reusable frontend components and API structures.
Write clean, maintainable code with sensible testing practices.
Required:
Minimum 2 years of full-time professional software engineering experience.
Proficiency building end-to-end AI-powered web applications using Next.js / React on the frontend and Python on the backend.
Demonstrated product-minded mindset with a track record of shipping complex web applications.
Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.
Strong experience with Docker and Kubernetes for containerization and deployment.
Nice to Have:
Hands-on experience with ML/NLP technologies, including embeddings, vector databases, and RLHF, and deploying ML components in production.
Experience with ML model serving and inference pipelines in production environments.
Proficiency with PostgreSQL and relational data modeling.
Salary: $90,000 – $200,000 USD annually, depending on experience.
Opportunity to have significant impact at an early-stage, well-funded startup.
Work alongside a senior team with backgrounds at leading research institutions and global consulting and technology firms.
On-site in Munich, Germany.
Visa sponsorship is not available for this role.
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Posted: 2026-08-04
This is a founding-team role at a Berlin-based, pre-seed AI-native platform built for private market operations — think fund accounting, treasury, and transfer agency automation powered by autonomous AI agents. As a Forward Deployed Engineer, you'll own technical delivery end-to-end: sitting with customers to understand their workflows, translating those workflows into production-grade AI deployments, and feeding real-world insights back into the core product. You'll be a critical bridge between customer success and product evolution at a company operating at the frontier of AI in financial services.
The stack is modern and lean: TypeScript, NestJS, Postgres, Prisma, Inngest, Mastra, React, TanStack, and Tailwind. You'll work closely with a small, high-caliber founding team and have outsized influence on how the product grows.
Manage technical delivery across the full project lifecycle — from initial discovery through to production launch.
Collaborate directly with customer operations teams in private markets to map workflows, surface pain points, and identify adoption barriers.
Convert customer processes into AI-driven, production-ready workflows on the platform.
Build customer-tailored prototypes with rapid iteration cycles, making informed scope adjustments along the way.
Bring deployment learnings back into product planning to continuously sharpen the platform.
Develop standardized approaches and reusable components from recurring patterns across customer deployments.
Required:
Proven ability to transform customer workflows into production deployments of AI-driven systems (agents, LLM pipelines, or similar).
End-to-end technical ownership mindset — you're comfortable driving a project from discovery to go-live without heavy scaffolding.
Experience engaging and collaborating with stakeholders in operations-heavy, process-rich environments (private markets / financial services a strong plus).
Proficiency deploying AI/ML systems to production: monitoring, rollback, reliability practices.
Eligibility to work in Germany without visa sponsorship and willingness to work on-site in Berlin.
Nice to Have:
Comfort operating in a small founding-team environment with high ambiguity, fast iteration, and broad scope.
Familiarity with fund accounting, fund administration, or private market operations workflows.
Experience with any part of the tech stack: TypeScript, NestJS, React, Postgres, or LLM orchestration frameworks.
Salary: €70,000 – €110,000 per year, depending on experience.
Early-stage equity opportunity with a founding team.
High-impact, high-ownership role with direct influence on product direction.
On-site in Berlin, Germany — this is a fully in-person role.
Visa sponsorship is not available; candidates must already have the right to work in Germany.
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Posted: 2026-08-04
Join a fast-moving energy technology company building the operating system for the next generation of energy in Europe. This role sits on the core infrastructure team, where you'll architect and scale systems that power modular billing engines, low-level energy-market communication protocols, and full accounting ledgers. If you're energised by deep technical complexity and want your work to have a direct impact on European households and energy markets, this is the role for you.
Solve for complexity through design — tackle hard architectural problems and design systems that remain clean and maintainable as they scale.
Scale the core — build and evolve the backbone infrastructure that supports dynamic electricity plans and reliable billing at scale.
Bias for action — ship with speed and confidence; move projects forward decisively in an ambiguous, fast-paced environment.
Raise the bar — champion engineering excellence through code reviews, technical discussions, and leading by example.
Must-have:
Proficiency in backend development using TypeScript (Node.js) with a strong grasp of asynchronous programming — this is a dealbreaker requirement.
Hands-on experience with PostgreSQL and at least one ORM (Drizzle preferred) for data access.
Experience with Next.js, including API routes or server components for backend services.
Familiarity with distributed systems concepts and designing scalable, maintainable core services.
C1+ English language proficiency (written and verbal).
Nice to have:
Experience integrating Stripe payments and related billing flows.
Exposure to the broader stack: Temporal, Hono, Tailwind, Fragment.
Strong CS fundamentals — formal degree or equivalent practical experience.
Ownership mindset with strong written and verbal communication skills.
Languages & Frameworks: TypeScript, Node.js, Next.js, Hono
Database: PostgreSQL, Drizzle ORM
Infrastructure & Tooling: Temporal, Stripe, Fragment
Frontend: Tailwind CSS
Salary: $80,000 – $120,000 per year (USD equivalent)
Visa sponsorship: Available
Opportunity to work at the forefront of European energy markets with a high-ownership, low-bureaucracy team
This is an on-site role based in Berlin, Germany. Candidates must be willing to work from the Berlin office. Visa sponsorship is available for the right candidate.
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Posted: 2026-08-04
This is a foundational senior engineering hire at a small, ambitious robotics startup in Munich building a fully flexible, intelligent robotic work cell for the hardest manual tasks in industry — surface finishing, welding, and coating. You will own the core robotics software stack end-to-end, from motion planning and control to perception integration and real-world deployment in industrial environments.
This is a high-ownership, high-impact role for someone who thrives on real hardware, moves fast, and wants to shape both product and engineering culture from an early stage. Equity participation is a meaningful part of the package.
Own the core robotics software stack of the work cell architecture
Develop and optimize motion planning, trajectory generation, and control algorithms
Integrate perception systems — cameras, force/torque sensors, LiDAR — into real-time control loops
Design, implement, and validate industrial safety concepts and fail-safe behaviors
Lead on-site testing, calibration, and commissioning of robotic work cells in industrial environments
Drive architecture decisions and establish engineering best practices across the team
Must-haves (dealbreakers):
5+ years of hands-on robotics experience in industrial automation, including direct work with industrial robotic arms
Proficiency in C++ and Python for robotics software development
Production experience with ROS 2 for robot software development and integration
Ability and willingness to work fully on-site in Munich, Germany (relocation required if not already local; no visa sponsorship available)
Required skills & experience:
Hands-on experience with industrial robot arms (e.g., KUKA, ABB, Fanuc, Universal Robots) in real production environments
Proficiency with CAD tools such as SolidWorks and/or CATIA for mechanical understanding and integration
Experience with industrial communication protocols: EtherCAT and OPC-UA
Integration of perception systems (cameras, force/torque sensors, LiDAR) into real-time control loops
Design and validation of industrial safety concepts and fail-safe behaviors
On-site testing, calibration, and commissioning of robotic work cells
Domain experience in surface finishing, welding, or coating within manufacturing environments
Nice to have:
German language skills (not required — English is fully sufficient)
Demonstrated ability to take independent ownership and collaborate cross-functionally in a startup environment
Base salary: €75,000 – €110,000 per year (depending on experience)
Equity participation: meaningful equity stake as an early team member
High-ownership role with direct influence on product and engineering direction
Munich, Germany — fully on-site
Relocation to Munich is required
No remote or hybrid option available for this role
No visa sponsorship — candidates must have the right to work in Germany
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Posted: 2026-08-04
This is a founding-team product engineering role at a Berlin-based, pre-seed AI-native fintech startup building autonomous agent infrastructure for private market operations — think fund accounting, treasury, transfer agency, and reporting. You'll design and build the operational interfaces through which private-market teams interact with AI agents: review screens, exception-handling flows, approval workflows, and the design system that ties it all together.
You'll be joining a small, high-caliber team at an early stage, with direct influence over product direction, architecture, and the UX patterns that make AI agent output trustworthy and easy to act on. The company operates in a space similar to Bolo AI and FurtherAI, targeting asset servicers and asset managers looking to automate complex back-office workflows end-to-end.
Develop and own the company's design system and shared UX patterns across the product
Build purpose-built product interfaces that connect operations teams to AI agents and underlying data sources (ERPs, banking systems, email, portals)
Implement human-in-the-loop flows for reviewing, approving, and acting on AI agent outputs — surfacing edge cases clearly and routing them to the right people
Design and build exception-handling and review screens that are intuitive within complex operational contexts
Conduct user research with operations teams to identify pain points, validate design decisions, and continuously refine product features
Collaborate closely with co-founders and cross-functional teammates in a fast-moving, small team environment
Required:
Proficiency in modern frontend development with React and TypeScript (Tailwind CSS experience is a plus)
Demonstrated experience designing and implementing design systems and reusable UI component libraries for product interfaces
Hands-on experience building human-in-the-loop UX for AI/ML workflows — you understand what makes agent output feel trustworthy and auditable
Ability to design and build review and exception-handling flows within complex, data-dense operational interfaces
Strong communication and cross-functional collaboration skills — you're comfortable working directly with founders and end users alike
1–7 years of relevant product engineering experience
Nice to Have:
Background in fintech, fund operations, or enterprise SaaS
Experience at companies operating in the AI/ML or private markets space
Familiarity with agentic workflow patterns, LLM orchestration, or audit-trail UX
Please note: Visa sponsorship is not available for this role. Candidates must be eligible to work in Germany without employer sponsorship.
Salary: €70,000 – €110,000 per year, depending on experience
Early-stage equity opportunity as part of a founding team
High-impact, high-ownership role with significant scope to shape the product
This is a fully on-site role based in Berlin, Germany. You'll be working closely with the founding team in person.
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Posted: 2026-08-04
We are a Berlin-based B2B performance marketing and lead generation agency with 5+ years in the market, 30+ team members, and a growing portfolio of 200+ active clients. We help B2B companies scale profitably by generating qualified leads and reducing customer acquisition costs through data-driven paid advertising and signal-based outreach strategies.
As Performance Marketing Manager, you take full end-to-end ownership of large-scale ad accounts across Paid Search and Paid Social — managing seven- to eight-figure annual budgets for clients spanning B2B SaaS, IT services, energy, and publicly listed enterprises. This is a high-autonomy role with room to specialize and grow fast within a results-driven team.
Own entire advertising accounts independently, making strategic decisions on account development and budget allocation
Strategically plan and build new ad accounts from scratch, ramping up quickly on complex industries and business models
Create, manage, and optimize Paid Search and Paid Social campaigns across Google Ads, Microsoft Advertising, Meta (Facebook/Instagram) Ads, and LinkedIn Ads — with the option to specialize in one or more channels
Monitor all relevant KPIs continuously and act decisively when spotting inefficiencies or untapped growth potential
Collaborate with a high-performing team to share learnings, refine processes, and push campaign performance further
Required:
2–4 years of hands-on experience in performance marketing or digital advertising
Proven experience managing seven- to eight-figure annual advertising budgets across multiple channels
Strong proficiency in both Paid Search and Paid Social advertising — this is a dealbreaker
Practical experience with Google Ads, Microsoft Advertising, Meta Ads, and LinkedIn Ads
Ability to independently manage accounts, budgets, and client strategies without heavy supervision
Analytical and proactive working style — you spot problems and opportunities before they're pointed out
German language proficiency (required for client communication)
Willingness to work in a hybrid (Berlin office + remote) environment
Nice to Have:
Experience with CRM platforms (e.g., HubSpot, Salesforce, Pipedrive)
Familiarity with reporting dashboards, data enrichment tools, or marketing automation workflows
Background in or exposure to B2B SaaS or IT services industries
Salary: €50,000 – €80,000 per year (depending on experience)
High-autonomy role with direct impact on client results and company growth
Clear processes and a collaborative team environment to support fast professional development
Hybrid work model based in Berlin
Please note: Visa sponsorship is not available for this role.
Berlin, Germany — Hybrid (combination of office and remote work). Candidates must be based in or willing to relocate to Berlin.
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Posted: 2026-08-04
A well-funded, Series A/B AI startup headquartered in Mountain View, CA — working with some of the world's top frontier AI labs — is looking for a Founding ML Research Engineer to help build and scale their AI research backbone from the ground up.
This role sits at the intersection of applied machine learning and systems engineering. It's ideal for someone who thrives in unstructured environments, loves building fast, and obsesses over model performance and data quality. You'll work directly with the founding team to prototype, experiment, and ship research-driven features that push the boundaries of cutting-edge AI systems.
The company specializes in high-quality training and post-training data, robust RL environments, and intelligent agents for frontier AI labs and enterprises — with a strong emphasis on accuracy, safety, and reliability.
No visa sponsorship is available. Candidates must have current eligibility to work in the United States.
Design, train, and evaluate ML models including LLMs, diffusion models, and domain-specific architectures.
Develop scalable experimentation pipelines covering data, model, and evaluation workflows.
Collaborate closely with data and infrastructure teams to optimize training throughput and model quality.
Contribute to open research, internal benchmarks, and emerging techniques in multimodal and generative AI.
Rapidly prototype and productionize research insights into usable tools and production-ready models.
Define foundational technical culture — establish standards for research rigor, documentation, and reproducibility.
Required:
3–10 years of hands-on experience in ML research, applied ML, or ML systems engineering.
Deep proficiency in Python and ML frameworks: PyTorch, JAX, and/or TensorFlow.
Strong hands-on experience with model architectures including Transformers, Diffusion Models, and RLHF techniques.
Proven experience designing and building scalable experimentation pipelines for data, model, and evaluation workflows.
Track record of contributing to open research, internal benchmarks, or emerging multimodal/generative AI techniques.
Ability to move fluidly from research papers → working prototypes → production-ready code.
Strong documentation habits and commitment to reproducibility.
Nice to Have:
Curiosity for and experience with emerging ML paradigms: multimodality, self-learning, synthetic data, agentic systems, etc.
Background at an AI-native startup or frontier lab environment.
Experience setting foundational technical culture in an early-stage team.
Base salary: $220,000 – $300,000 per year, depending on experience.
Equity participation as a founding team member.
Opportunity to shape research direction and culture from the ground up.
On-site, full-time in Mountain View, CA. Remote work is not available for this role.
Must have current authorization to work in the United States — no visa sponsorship provided.
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Posted: 2026-08-04
Clera baut den AI Talent Agent, der die $600B Headhunting-Industrie ablöst. Statt dass Recruiter wochenlang Kandidaten suchen, macht unser AI Agent das in Minuten. Wir arbeiten schon mit über 600 US-Startups (Mintlify, Luminai, Windsurf) zusammen und sind in 6 Monaten von 0 auf über $1M ARR gewachsen. Wir haben eine $3M Pre-Seed-Runde mit internationalen Top-Investoren abgeschlossen.
Jetzt suchen wir Werkstudenten, die mit uns die Art und Weise verändern wollen, wie Unternehmen Leute einstellen.
Die Rolle: Du bist direkt an der Schnittstelle von AI und Recruiting. Du findest Talente, sprichst sie an und hilfst ihnen, bei den spannendsten Startups zu landen. Kein klassisches HR – du siehst live, wie KI das Recruiting komplett verändert. Du arbeitest direkt mit dem Founding Team.
Talente für unsere Startup-Kunden sourchen und direkt ansprechen
Kandidaten durch den Recruiting-Prozess begleiten
Talent-Pipelines und Kandidaten-Datenbanken aufbauen
Unsere Recruiting-Prozesse und Tools verbessern
Research zu Talentmärkten und Zielgruppen
Eng mit dem Founding Team an unseren Prozessen arbeiten
Dein Profil:
Du interessierst dich für Recruiting, HR-Tech und/oder Startups
Du arbeitest eigenständig – niemand muss dir sagen, was als Nächstes kommt
Deutsch und Englisch fließend
Bonus: erste Erfahrung in Recruiting, HR oder einem Startup
Mindestens 15–20 Stunden pro Woche
Wer du bist:
Du willst in einem Early-Stage-Startup arbeiten, wo Speed zählt, nicht Hierarchie
Du hast ein gutes Gespür für Leute und kannst Talente begeistern
Du machst, was nötig ist, um Ergebnisse zu bringen
Du lernst schnell und hast Bock auf ein kleines, intensives Team
Du willst was aufbauen, nicht nur einen Lebenslauf füllen
Was wir bieten:
Founding Team mit Track Record
Echte Verantwortung ab Tag 1
Früh genug für echten Einfluss. Weit genug für Product-Market Fit und Momentum
Du lernst hautnah, wie AI das Recruiting veränder
Flexible Zeiten, die zu deinem Studium passen
Faire Vergütung
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Posted: 2026-08-04
Clera baut den AI Talent Agent, der die $600B Headhunting Industrie ablöst. Statt dass Recruiter wochenlang Kandidaten suchen, macht unser AI Agent das in Minuten. Wir arbeiten schon mit über 600 US-Startups (Mintlify, Luminai, Windsurf) zusammen und sind in 6 Monaten von 0 auf über $1M ARR gewachsen. Wir haben eine $3M Pre-Seed Runde mit internationalen Top-Investoren abgeschlossen.
Jetzt suchen wir Werkstudenten, die Bock haben, dieses Ding mit uns zu skalieren.
Die Rolle: Du bist mitten im operativen Kern. Du hilfst uns, Talente zu finden, Pipelines aufzubauen und unsere Prozesse besser zu machen. Du arbeitest direkt mit dem Founding Team.
Talente für unsere Kunden sourcen und ansprechen
Talent Pipelines aufbauen und pflegen
Unsere Talent Ops Prozesse verbessern und skalieren
Research zu Märkten, Zielgruppen und potenziellen Kunden
Eng mit dem Founding Team an Go-to-Market arbeiten
Feedback aus dem Markt holen, das direkt in unser Produkt fließt
Dein Profil:
Du interessierst dich für Startups, AI und/oder Recruiting
Du arbeitest eigenständig – niemand muss dir sagen, was als Nächstes kommt
Deutsch und Englisch fließend
Bonus: erste Erfahrung in Recruiting, Sales oder einem Startup
Mindestens 15–20 Stunden pro Woche
Wer du bist:
Du willst in einem Early Stage Startup arbeiten, wo Speed zählt, nicht Hierarchie
Du lernst schnell und hast Bock auf ein kleines, intensives Team
Du willst was bauen
Was wir bieten:
Founding Team mit Track Record
Echte Verantwortung ab Tag 1
Früh genug für echten Einfluss. Weit genug für Product-Market Fit und Momentum
Ein Produkt, das Kunden tatsächlich lieben, in einem riesigen Markt
Flexible Zeiten, die zu deinem Studium passen
Faire Vergütung
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Posted: 2026-08-04
Clera baut den AI Talent Agent, der die $600B Headhunting-Industrie ablöst. Statt dass Recruiter wochenlang Kandidaten suchen, macht unser AI Agent das in Minuten. Wir arbeiten schon mit über 600 US-Startups (Mintlify, Luminai, Windsurf) zusammen und sind in 6 Monaten von 0 auf über $1M ARR gewachsen. Wir haben eine $3M Pre-Seed-Runde mit internationalen Top-Investoren abgeschlossen.
Jetzt suchen wir Werkstudenten, die mit uns die Art und Weise verändern wollen, wie Unternehmen Leute einstellen.
Die Rolle: Du bist direkt an der Schnittstelle von AI und Recruiting. Du findest Talente, sprichst sie an und hilfst ihnen, bei den spannendsten Startups zu landen. Kein klassisches HR – du siehst live, wie KI das Recruiting komplett verändert. Du arbeitest direkt mit dem Founding Team.
Talente für unsere Startup-Kunden sourchen und direkt ansprechen
Kandidaten durch den Recruiting-Prozess begleiten
Talent-Pipelines und Kandidaten-Datenbanken aufbauen
Unsere Recruiting-Prozesse und Tools verbessern
Research zu Talentmärkten und Zielgruppen
Eng mit dem Founding Team an unseren Prozessen arbeiten
Dein Profil:
Du interessierst dich für Recruiting, HR-Tech und/oder Startups
Du arbeitest eigenständig – niemand muss dir sagen, was als Nächstes kommt
Deutsch und Englisch fließend
Bonus: erste Erfahrung in Recruiting, HR oder einem Startup
Mindestens 15–20 Stunden pro Woche
Wer du bist:
Du willst in einem Early-Stage-Startup arbeiten, wo Speed zählt, nicht Hierarchie
Du hast ein gutes Gespür für Leute und kannst Talente begeistern
Du machst, was nötig ist, um Ergebnisse zu bringen
Du lernst schnell und hast Bock auf ein kleines, intensives Team
Du willst was aufbauen, nicht nur einen Lebenslauf füllen
Was wir bieten:
Founding Team mit Track Record
Echte Verantwortung ab Tag 1
Früh genug für echten Einfluss. Weit genug für Product-Market Fit und Momentum
Du lernst hautnah, wie AI das Recruiting veränder
Flexible Zeiten, die zu deinem Studium passen
Faire Vergütung
Find more English Speaking Jobs in Germany on Arbeitnow
Posted: 2026-08-04
We're an early-stage, venture-backed AI-native healthtech startup building an intelligent operating system that empowers nurse practitioners to launch and run their own independent clinics. Our platform replaces fragmented, manual healthcare infrastructure with a single, cohesive system — so clinicians can focus on care, not paperwork.
We're hiring a Senior Software Engineer, Full Stack to build and own core product functionality across the stack. You'll design and implement the systems that power reliable clinical and operational workflows — from backend services and APIs to the frontend experiences that clinicians use every day. This role reports to the CTO.
You do not need prior healthcare or FHIR experience. We care more about strong engineering fundamentals, sound technical judgment, and the ability to ramp quickly on a complex domain.
Work arrangement: Hybrid — 3 days per week in our New York City office.
Build and own product features across the stack using Python, Django, React, and Next.js
Design and implement systems behind clinical and operational workflows, including scheduling, messaging, and practice operations
Build APIs, application logic, and integrations with clinical and third-party systems
Collaborate with engineers, designers, and clinical stakeholders to turn complex workflows into intuitive software
Debug and resolve production issues across the frontend, backend, and infrastructure
Design systems that remain reliable, maintainable, and predictable as the product scales
Contribute to system design, technical planning, architecture discussions, and code reviews
Incorporate AI coding tools (e.g. Claude Code, GitHub Copilot) into your daily development workflow
Backend: Python, Django, django-ninja, Django Channels (async-first)
Frontend: Next.js, React
Data: PostgreSQL, pgvector, Redis
Clinical: Medplum, FHIR, WebSockets
Infrastructure: AWS, Kubernetes, Terraform, Datadog, GitHub Actions
Required (5–8 years of experience):
Strong ability to design and own backend services and APIs — including data modeling, service architecture, scalability, and reliability
Frontend development experience building usable, intuitive UI/UX for real users
Experience with asynchronous processing and workflow design for reliable, real-world operational tasks
Experience building integrations and interfaces between internal and external systems to support end-to-end workflows
Deep commitment to reliability, correctness, and writing maintainable, testable code
Based in New York City and available for a hybrid work schedule (3 days/week in office)
Must be eligible to work in the United States without visa sponsorship
Nice to have:
Familiarity with FHIR, Medplum, or clinical data standards
Experience at a healthtech, care delivery, or clinical operations company
Comfort operating in an early-stage, fast-moving environment with a small engineering team
Salary: $160,000 – $205,000 per year
Equity participation
Visa sponsorship: Not available — candidates must be authorized to work in the United States
New York City, NY — Hybrid (3 days per week in office). Candidates must be local to or willing to relocate to the New York City area.
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Posted: 2026-08-04
Join a small, high-velocity team building an AI-powered pricing platform that helps B2B companies continuously optimize their pricing strategy and improve deal outcomes. The AI recommends prices; expert Pricing Architects stay in the loop on high-stakes calls. Your mandate is to build the evaluation systems and feedback loops that let the AI earn more of that trust over time. This is applied AI on a problem where quality is directly measurable in customer revenue.
Design and build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth for AI recommendations.
Own LLM infrastructure and model routing across multiple frontier providers (Anthropic, Google) with explicit cost/latency/quality tradeoffs.
Maintain EU data-residency boundaries for EU customer model calls, ensuring compliance with applicable data regulations.
Extend an MCP server so LLM agents — including customers' own agents — can programmatically drive the platform.
Build observability and feedback loops that surface where the AI earns or loses trust from human reviewers.
Bridge non-deterministic engineering concepts clearly to less technical stakeholders (sales, customer success, leadership).
Required
8+ years of software engineering experience with strong, recent production LLM depth.
Demonstrated track record of shipping and owning LLM-powered product features in production — not research-only work.
Has personally built evals and observability for LLM systems (not just consumed someone else's dashboard).
Comfortable operating across the full stack: TypeScript/Python, FastAPI, GCP, and modern LLM tooling.
Strong communicator who can make non-deterministic engineering concepts legible to non-technical stakeholders.
Nice to Have
Experience with MCP or building tools/integrations for LLM agents.
Familiarity with LangChain, LlamaIndex, Braintrust, Langfuse, or OpenRouter.
Background in a domain where correctness is audited — pricing, billing, payments, or similar.
Experience at a seed-stage or founding-team environment; comfort with AI-assisted coding workflows (e.g., Cursor, Claude Code).
Languages & Frameworks: TypeScript, React, Python, FastAPI
Infrastructure: GCP, Pulumi, Cloudflare Pages, MongoDB Atlas
AI/LLM Tooling: FastMCP, Langfuse, Anthropic Claude, Google Gemini
Salary: €130,000 – €165,000 annually
Equity: Meaningful employee stock option plan (ESOP)
Visa sponsorship is not available for this role.
This is a fully on-site role based in Amsterdam, Netherlands. Candidates must be able to work on-site; remote work is not available for this position.
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Posted: 2026-08-04
We're a fast-growing, Series A/B EdTech company with a global student user base, and we're looking for a Finance Engineer to join our Berlin team. This is a high-impact, hybrid role sitting at the intersection of finance operations and technology — you'll act as a strategic right hand to our Director of Finance & People, combining hands-on financial execution with a builder's mindset to automate, improve, and scale our finance function from the ground up.
If you thrive in fast-paced environments, love eliminating manual work through smart tooling, and want your fingerprints on a growing finance organization, this role is for you.
Serve as a strategic force multiplier for the Director of Finance, preparing decision briefs and leading cross-functional initiatives.
Own and manage key financial processes — including monthly, quarterly, and annual close — and coordinate with external auditors.
Ensure continuity and integrity of financial reporting across multiple jurisdictions.
Drive operational controlling: budget planning, financial forecasting, and liquidity management.
Build and deliver monthly financial reporting; conduct data-driven analyses to inform growth and investment decisions.
Identify and implement automation opportunities across finance workflows using AI tools, low-code platforms, and smart integrations.
Support financial modeling for growth and innovation projects; act as a strategic sparring partner to leadership.
Manage relationships with external advisors (tax, audit, legal) across jurisdictions.
Serve as a key link between Finance & People and other functions such as Growth and Engineering.
Help lay the foundation for a digital finance backbone — including intelligent dashboards, predictive KPIs, and scalable ERP/treasury architecture.
Required:
1–3 years of finance experience, ideally from a Big 4 advisory firm, a high-growth startup, or both.
Degree in Business, Finance, Accounting, Economics, or a related field from a top-tier university.
Strong analytical skills and advanced Excel proficiency.
Hands-on experience across FP&A, budgeting, forecasting, controlling, and liquidity management.
Solid knowledge of German accounting standards (HGB) and familiarity with IFRS.
Demonstrated use of AI tools to enhance or automate finance workflows.
Fluency in both German and English (written and spoken).
Proactive, self-driven, and comfortable operating with autonomy in a fast-paced startup environment.
Strong stakeholder management and cross-functional collaboration skills.
Willingness to work on-site in Berlin.
Nice to Have:
Familiarity with BI tools (e.g. Tableau, Looker, Power BI) or low-code/no-code platforms.
Experience supporting or building ERP or treasury system architecture.
Salary: €50,000 – €60,000 per year, depending on experience.
Opportunity to shape and own the finance function at a high-growth technology company.
Direct collaboration with senior leadership and meaningful strategic impact from day one.
A dynamic, international team environment in central Berlin.
Please note: visa sponsorship is not available for this role. Candidates must already hold the right to work in Germany.
This is a fully on-site role based in Berlin, Germany. We're looking for candidates who are already located in Berlin or able to relocate.
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Posted: 2026-08-04
Remote (+/- 2hrs from Germany GMT+1). C2 English Language is essential
At Secfix, we’re at the forefront of automating security compliance in Europe. We help companies get and stay ISO 27001, GDPR, TISAX, and SOC 2 fast and easy and reduce hundreds of hours of manual work.
Secfix is run by a 100% remote team with hubs in Munich, Berlin and London. We’re a high-performing team looking for passionate, execution-focused, owners to help us automate security and compliance for modern companies and become the European compliance automation leader.
We’ve just raised our $12M Series A and are backed by top VCs, including Alstin Capital, Neosfer (Commerzbank), and Bayern Capital.
About the Role
We're hiring an ISO 27001 Internal Auditor to own our internal audits end to end. You stay independent from the implementation work. You audit what a customer has built, review their evidence on the Secfix platform, and give them a clear report before their external audit. You assess, you find what is missing, and you tell them in plain language exactly what to do about it. This is a hands-on individual contributor role with full ownership of a function customers trust us with.
What You'll Do:
You will own internal audits to make our customers ready for their certification. We give you full context and best practices, and you own how you deliver the results. You will:
Own internal audits for our customers end to end, from kickoff through to the final report they take into their external audit
Review and sample evidence on the Secfix platform and assess it against the relevant ISO 27001 controls
Run the customer calls and walk customers through your findings and any non-conformities
Catch the non-conformities that matter, including the easy ones, so nothing avoidable surfaces later in an external audit
Write findings a non-technical founder can act on: what is missing, why it matters, and what to do next
Keep several audits moving at once and keep every one on schedule
Stay neutral to the implementation and hold a clean line between auditing and helping
Learn our other frameworks (TISAX, ISO 42001) and help build a repeatable audit structure for them
Help improve framework content on the platform, including evidence examples and guidance
Share structured product feedback when you spot recurring issues in the platform
About You:
Up to 2 years of information security background
Hands-on ISO 27001 internal audit experience, with at least 10+ internal audits you have personally run
A PECB ISO 27001 Lead Auditor certification or a direct equivalent
Direct experience auditing inside a modern GRC platform
Clear, concrete written and spoken English, with the ability to explain complex requirements simply
Nice-to-have:
Experience auditing or implementing TISAX, ISO 42001, NIS2 or SOC 2
Experience at an early-stage startup (Seed to Series B)
Exposure to a modern SaaS product and cross-functional work with product teams
What we offer
Remote Work: 100% remote work with a virtual office in Gather.
Competitive Salary: Industry-competitive local salaries.We pay local rates that are at or above the market. We share this philosophy with GitLab.
Equity: Generous equity package – we’re all owners of Secfix and beneficiaries of our collective success.
Mentorship: We are backed by top VCs and accelerators and have direct access to world-class mentors.
Development Budget: €1,000 annual personal development budget.
Home office Budget: Home office budget and access to co-working spaces.
Holidays: 26 days holiday + local public holidays.
Health Insurance: Comprehensive health coverage.
Annual Retreat: Annual retreat to build connections and inspire ideas (this year we’re headed to Alicante!).
Company Events: Company-wide events to build relationships and have some fun!
Tech Equipment: Latest tech equipment (MacBook, monitors, headphones).
Interview Process:
45 min - Intro call with Talent team
Take-home Assessment
1.5hr Assessment review and interview with Compliance Team
45 min - Final Founder Interview with CTO
Please note: We are an equal-opportunity employer and a remote-only company. At this time, we can support hiring only within EU time zones. We work in sync using Gather as our virtual office. As a small fast-growing company, we believe in the need for an in-sync component of daily communication and therefore cannot support 100% asynchronous work. Read more about our Remote Culture here.
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Posted: 2026-08-04