Engineering Manager | Applied AI (m/f/d)

Tasks

• Make the team better than you found it: hire, mentor, and raise the bar on what good looks like here. Your impact shows up in what they ship when you're not in the room.
• Set the engineering standard for AI work: evaluation, testing and observability, and a delivery rhythm that holds up when the pressure is on.
• Own delivery at startup pace, without trading away the accuracy lawyers depend on. Direction and roadmap
• Own the technical roadmap: architecture, agent frameworks, retrieval, evaluation and observability. You won't be writing the code, but you will be the person who says whether the design is right.
• Partner with product on what gets built: product owns the product roadmap, you own what is technically possible and what it will actually cost.
• Separate signal from noise: track how generative and agentic AI is actually evolving, and turn it into decisions rather than slide decks. Across the company
• Get AI into real product workflows, working with design and engineering so it lands as something people use rather than something we demo.
• Make the rest of the business better at AI. You're the authority here, and the goal is that other teams get sharper because you're in the building.
• Explain AI to people who don't build it, from engineers to the CEO, without dumbing it down or hiding behind it.

Requirements

• You've run an engineering team and made it better. Direct reports, and specific examples of people who levelled up under you.
• You get results through people who don't report to you: product managers, domain experts, other teams.
• You've led at pace, on high-performing teams with real deadlines, and you know what to cut. AI Depth
• At least 3 years at a company where generative or agentic AI is central to the product, not bolted onto it.
• Teams you've led have shipped agentic systems to production. Prototypes and demos don't count.
• You can hold your own on the detail: retrieval quality, evaluation, observability, agent design. You recognise an over-engineered solution when you see one. Further Requirements
• Located within CET +/-2.
• Nice to have: a formal background in AI or ML, experience taking a product from non-AI-native 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. No committee between you and a decision.
• A Market Ripe for Disruption – Agentic AI in a profession that has barely been automated at all, on a product 2,000+ lawyers already use every day.
• 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 the accessories you need
• Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle

Your Challenge and Opportunity in This Role