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 adoption
• Turn messy production problems into clear data, analytics, and solution requirements
• Onboard and validate machine, process, quality, and maintenance data from industrial systems
• Spot data problems that only make sense if you understand the machine behind them
• Build and validate KPIs, features, anomaly signals, calibration methods, and analytical workflows in Python and SQL, using statistics and time-series analysis
• Run the project with the customer and our commercial lead: plans, workshops, validation sessions, and success criteria
• Find the next machine, line, data source, or use case, and expand with it
• Bring what you learn in the field back to the product, so each deployment makes the platform better
• Help write the playbook for how we deliver, as the customer engineering team grows

• Have worked hands-on with industrial machines and production processes, in manufacturing, automation, maintenance, quality, industrial engineering, or industrial data
• Know your way around PLCs, SCADA, MES, historians, production databases, quality systems, or OPC UA
• Use Python and SQL to answer questions, not just to write code
• Have worked with time-series data, KPIs, anomaly detection, or root-cause analysis
• Communicate as well on the shop floor as in the plant manager’s office
• Like solving hard problems in automation and process engineering
• Take ownership, work independently, and are comfortable when things are ambiguous
• Are happy to travel to customer sites and have a driver’s license
• Speak 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.