Engineering Manager | Applied AI
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 64d ago
The date the source published, not the day we noticed it (2026-07-29). Last seen at its source 3h ago.
We have tracked this listing since 26 Aug 2026 (36 days). The employer's board dropped it once and re-listed it; it was last seen there 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Germany, United Kingdom, Spain, Portugal, Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €96.3k–135.9k/yr
Middle 50% of 28 listings that do state pay — Engineering · all levels · Germany · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 36d ago · last seen 3h ago
- posted 2026-09-18
The listing
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, so the hard part isn't proving AI belongs here. The hard part is doing it well enough that a lawyer will put their professional judgement behind the output.
Your job is to make that repeatable. The field throws up something new every week and most of it is noise. We need someone who can tell the difference, turn that judgement into a roadmap, and build a team that can actually deliver it.
Tasks
Leading the team
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
Leadership
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
If you want to own how AI gets built inside a product that thousands of lawyers rely on every day, we'd love to hear from you.