[Hiring] Engineering Manager @JUPUS

Role Description

We're looking for an Engineering Manager to own AI at one of the fastest-growing AI legal tech companies in Europe. Over 2,000 lawyers use JUPUS every day, and the AI behind it is already in production and already in front of customers. You'd own the team, the technical roadmap, and the standard everything gets built to.

You'll report to our Head of Engineering and lead our AI team. This is a leadership role, not a senior engineering seat with a lead title. You won't be shipping features yourself, and that's deliberate - we want someone whose leverage comes from the team they build and the calls they make.

Your Challenge and Opportunity in This Role

• Legal work is document-heavy, judgement-heavy, and almost untouched by AI.
• We've trained on over a million German court rulings and handled over a million cases.
• Your job is to make AI output repeatable and reliable for lawyers.
• You need to differentiate between noise and valuable insights in the evolving AI landscape.
• Turn judgement into a roadmap and build a team that can deliver on it.

Tasks

• Leading the team:
• Make the team better than you found it: hire, mentor, and raise the bar.
• Your impact shows up in what they ship when you're not in the room.
• Set the engineering standard for AI work:
• Evaluation, testing, observability, and a delivery rhythm that holds up under pressure.
• Own delivery at startup pace without sacrificing accuracy.
• Direction and roadmap:
• Own the technical roadmap: architecture, agent frameworks, retrieval, evaluation, and observability.
• Partner with product on what gets built: product owns the roadmap, you own technical feasibility and cost.
• Separate signal from noise: track AI evolution and turn it into actionable decisions.
• Get AI into real product workflows, working with design and engineering.
• Make the rest of the business better at AI.
• Explain AI to non-technical stakeholders without dumbing it down.

Qualifications

• You've run an engineering team and made it better.
• Direct reports, with specific examples of people who leveled up under you.
• You get results through people who don't report to you, such as product managers and domain experts.
• You've led high-performing teams with real deadlines.

Requirements

• At least 3 years at a company where generative or agentic AI is central to the product.
• Teams you've led have shipped agentic systems to production.
• You can hold your own on details like retrieval quality, evaluation, observability, and agent design.
• Located within CET +/-2.
• Nice to have: a formal background in AI or ML, experience transitioning a product to AI-native, familiarity with LangGraph, MCP, LangSmith, or Langfuse, or legal tech and other regulated domains.

Benefits

• 🧠 Real Ownership – The AI function is yours: team, roadmap, and standards.
• ⚖️ A Market Ripe for Disruption – Agentic AI in a profession that has barely been automated.
• 📈 Growth Stage – €19.5M raised and a team that has nearly tripled in two years.
• 🏡 Fully Remote – Enjoy the flexibility of working from anywhere.
• 💻 Top Equipment – State-of-the-art MacBook plus all necessary accessories.
• 🏋️ Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle.