SAEKI - Autonomous factories for the free world

We build factories that learn. We sell tangible parts, not software: every part we make produces data on design, cost, process and quality. Our bet is that a factory which learns from that data makes each next part faster, better and with fewer people, and that what one factory learns, every new factory applies.

The Role

Identify the key bet: the decision in our factory, from quoting to quality, where learning from data pays off most
Define, with our software engineers, what data we capture from day one
Build the first learning-factory MVP yourself and put it in front of engineers and operators within weeks
Decide what to build, what to buy and when a model is good enough to trust
Show the company and our investors, with numbers, that the factory is learning
Grow into the AI Lead role once your MVPs are proven

What We're Looking For

Several years shipping ML or LLM systems that real users depended on
Stack: Strong Python, SQL and data engineering; comfortable from raw data to deployed tool
Experience starting from zero data: you have designed what to capture and then built a tool on it
Pragmatism: you use whatever method works, from a rule to an agent, judged by what helps the operator in front of you
Curiosity for the physical world: you want to stand next to the machine and understand the operator's decision
Clear writing and the ability to explain results and their limits
Bonus: manufacturing, additive, CNC, CAD or geometry data; early-stage startup experience
Language: English. German is a plus for shop-floor conversations.
On-site: Ability to work in person at Zurich, Switzerland, with regular time on the shop floor at Factory ONE in Munich, Germany.

What we're not looking for

Researchers without a user: every model you build here has a factory user, or it is dropped
Someone who needs clean data, a platform and a team before they can ship
Someone who wants to manage first and build later: the lead role is earned by proven MVPs
Generic ERP, MES or QMS feature work, or machine interaction: other teams own these

What we offer

Mission: Rebuild the industrial sovereignty of the free world. What your systems learn in Factory ONE, every next factory applies.
The Environment: A real factory as your lab, with direct access to the people who run it, and ownership of the core of SAEKI's value proposition from day one.
The Team: A small, generalist Manufacturing Intelligence team that ships, reporting to the VP of Manufacturing Intelligence.
Compensation: Competitive salary + equity.
Location: Zurich HQ

Apply

Resume: Focus on systems you shipped that real users relied on, and what happened to them after launch.
Cover letter: Why this mission? Why now? What would you build first?