About the role
Invest in Values. Produce in Freedom. Boost Europe.
Europe can reindustrialize if we bring together AI X energy market opportunities X industrial processes. Europe's largest industrial companies – together around 2% of Europe's total energy demand – make their energy decisions with our Energy OS.
As a Product Engineer, you build that product: you design what you build, ship features from idea to production, and develop AI agents that read digital twins, run optimizations, explain plans and will soon act autonomously. No ticket queue – real impact at real industrial sites, with short feedback loops straight from the customer.
Tasks
End-to-End Features: Ship user-facing features across our four modules – Digital Twin, Designer, Operator and Portfolio Manager – from concept and design to production.
AI Agents: Build agents that read digital twins, execute optimizations, explain plans and eventually act autonomously – and deploy them into individual customer installations, evaluated against real customer data.
Reliable AI: Treat hallucinations as an engineering problem – with guardrails, grounding and evals.
Make Data Visible: Turn complex simulation outputs into clear visualizations – time series, charts, maps.
Full-Stack & Production: Go down the stack when needed – API, database, optimization service interfaces – and own the path to production: CI/CD, services, jobs.
Live Data Flows: Keep data streams from customer IT/OT systems, market data, weather data and public APIs running reliably.
Ship Faster: Improve how we ship through tooling, testing and agent workflows.
Requirements
Education & Background: Degree in computer science, software engineering, business informatics or a comparable STEM qualification.
Experience: 2–5 years building customer-facing products – ideally at companies known for software craftsmanship. A proven track record of taking complex features from idea to launch.
Tech Skills: Strong TypeScript fundamentals with Vue or React; comfortable across browser, Node and PostgreSQL. Experience with containers, CI/CD and production databases.
AI-Native: You've shipped LLM features to real users and understand their costs and failure modes. Claude Code, agents and subagents are part of your daily loop.
Product Sense & Ownership: You discuss design details, cut scope without being asked and take on unclear work – high ownership, low ceremony.
Curiosity for Energy: No prior knowledge of industrial energy required – but the appetite for it is.
Benefits
Share in the Success: Competitive base salary plus equity – we set your level during the process, not based on your CV.
Top-Tier Venture Capital Network: Direct access to the Point 9 and Earlybird networks – including formats for sparring, mentoring and further education.
Unforgettable Team Offsites (Workation): Once a year, the whole team goes on a workation. Including exclusive exchanges with our Visionary Voices (e.g. Robert Habeck, Kitty Mayo, James Vincent).
Corporate Health: Full flexibility for your fitness and health with Urban Sports Club.
Into the Field: Visit industrial sites and see your software running in real operations.
Our stack: Vue, Node.js, PostgreSQL, Google Cloud (managed services, Kubernetes for optimization jobs, GitLab CI), LangGraph across multiple models, plus Julia and Python for optimization and forecasting. You don't need to know Julia – just don't be scared of it.
Small team, direct communication, no hierarchy layers. In-person onboarding, then hybrid from Munich, Düsseldorf or Münster.
Send us the work you're proudest of – a repo, a product or a write-up that shows how you think – and what you want to build next. A CV is optional.
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