Industrial Data & Solutions Engineer (gn) @ Stealth AI Venture, Berlin

Factories run on machines that generate huge amounts of data, and almost none of it gets used. We're changing that. We build AI software that helps production engineers and operators turn machine data into answers: why a line is slowing down, what's causing scrap, and what to fix next. We're early and in stealth. Our two founders both held C-level roles at leading German robotics ventures. They have spent years bringing advanced technology onto real shop floors, and now they're hiring the founding core team. Your role & responsibility You're the person who makes our product work in the real world. You go into a plant, figure out what's actually broken, connect the data, and stay until operators use the product every day without being asked. You'll work with everyone from the machine operator to the plant manager, and with IT and OT. You own each customer from the first conversation through rollout and expansion. Berlin or home-based in Germany, with regular time in Berlin with the team. You'll spend about 20% of your time at customer sites. What you'll do Own deployments end to end: use-case definition, data onboarding, validation, rollout, training, and adoptionTurn messy production problems into clear data, analytics, and solution requirementsOnboard and validate machine, process, quality, and maintenance data from industrial systemsSpot data problems that only make sense if you understand the machine behind themBuild and validate KPIs, features, anomaly signals, calibration methods, and analytical workflows in Python and SQL, using statistics and time-series analysisRun the project with the customer and our commercial lead: plans, workshops, validation sessions, and success criteriaFind the next machine, line, data source, or use case, and expand with itBring what you learn in the field back to the product, so each deployment makes the platform betterHelp write the playbook for how we deliver, as the customer engineering team grows You might be a fit if you Have worked hands-on with industrial machines and production processes, in manufacturing, automation, maintenance, quality, industrial engineering, or industrial dataKnow your way around PLCs, SCADA, MES, historians, production databases, quality systems, or OPC UAUse Python and SQL to answer questions, not just to write codeHave worked with time-series data, KPIs, anomaly detection, or root-cause analysisCommunicate as well on the shop floor as in the plant manager's officeLike solving hard problems in automation and process engineeringTake ownership, work independently, and are comfortable when things are ambiguousAre happy to travel to customer sites and have a driver's licenseSpeak fluent German and English A degree is optional. A Meister, Techniker, vocational training, or real-world experience counts just as much. We care about what you can do. We're open to experienced people who can lead deployments on their own, and to exceptional earlier-career people with strong industrial experience who learn fast. This is not a desk job. It's hands-on and customer-facing, and you'll spend a lot of your time where the machines are. Why now You'll be one of the first people in the company. You'll work directly with the founders and shape how we deliver to customers from day one. What you build here becomes the way we work. We'll tell you more about the company, the founders, and our backers in the first conversation. Skills: Portfolio Company