Forward Deployed Engineer - Industrial AI

What you'll do:

You embed inside an industrial client — a factory, a warehouse network, a supply chain organization — and you own the deployment of vertical AI software until it produces measurable, recurring gains. You own the last mile that everyone else abandons: from signed contract to validated euros.

• •Own the deployment cycle for a client account — configuration, integration, data pipelines, and the custom glue code no product ships with.
• •Extract the data that doesn't exist yet: interview the planner, sit with the operator, turn tribal knowledge into structured data.
• •Frame every scope as a business case: what it's worth in euros, how we'll measure it, when finance signs off.
• •Run the deployment cycle like a professional: weekly steering, clear status, risks surfaced early.
• •Spot the next opportunity inside an existing account and build the business case for it.

Your profile:

Entrepreneurial, hands-on, hungry to build. We care less about your title or years of experience than about what you've actually shipped and owned.

Must-haves (non-negotiable):

• •You've shipped production code with your own hands. Name the repo, the stack, what broke, who reviewed it.
• •You've built something from zero that nobody asked you to build — a real product, tool, or automation with actual users, not just an idea.
• •Structured problem decomposition on genuinely ambiguous problems — the single most tested skill in our hiring process.
• •You want the field, not the office. Factories are loud, data is dirty, stakeholders are skeptical — and you'd rather be there than behind a roadmap committee.
• •You can hold a conversation with a skeptical plant manager or stakeholder, explain something technical to someone who isn't, disagree with a client, and say "I don't know" without losing the room.
• •An entrepreneurial mindset — a genuine builder, comfortable getting your hands dirty rather than just architecting from a distance.
• •Professional French and English — you can run a workshop with a plant manager and a standup with an English-speaking stakeholder.
• •Available to travel 2–3 days a week to client sites, including outside Paris and occasionally abroad.

Nice-to-haves: prior exposure to industrial environments, a quantitative backbone, frontend basics (React/TypeScript), prior experience owning a P&L or a client relationship, any evidence of ownership, a founder background (successful or not).

Working conditions:

3-week paid intensive bootcamp at start. Paris base; expect 40–60% of time at client sites during active deployments — in practice, 2–3 days a week on-site, back in Paris the rest of the week, with occasional travel abroad. Standard health cover, meal vouchers, €2K relocation allowance if moving to Paris.

This role is probably not for you if…

You want a pure engineering job with no client in the room. You need certainty about what next month looks like. You're more comfortable describing a solution than shipping one. Travel is a dealbreaker. You need a mandate before you'll build something.

We look for profiles with clear, standout strengths, not ones that just check every box a little.

About us:

We make industrial AI software deliver the value it promises — measured in euros on the client's P&L, not in slides. Our founding team learned something expensive across more than 100 industrial AI deployments: roughly 40% of the data an AI system needs does not exist in any system of record. It lives in a planner's head, in a supervisor's spreadsheet, in the muscle memory of a machine operator with twenty years on the line. Someone has to go get it. That someone is you.

Our values:

• •Impact, not reports. Every hour of work traces to the client's P&L.
• •Ship in weeks. A working system on Friday beats a perfect architecture next quarter.
• •The floor is the truth. The ERP says one thing, the shop floor does another. We believe the floor, and we go see it.
• •Ownership without borders. You close gaps even when they're outside your lane. No submarines.
• •Humility as a method. "I don't understand this process yet" is the beginning of every good deployment.