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

This is an Atlantic portfolio company.

What were building

Factories run on machines that generate huge amounts of data and almost none of it gets used. Were changing that. We build AI software that helps production engineers and operators turn machine data into answers: why a line is slowing down whats causing scrap and what to fix next. Were 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 theyre hiring the founding core team.

Your role & responsibility

Youre the person who makes our product work in the real world. You go into a plant figure out whats actually broken connect the data and stay until operators use the product every day without being asked. Youll 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. Youll spend about 20% of your time at customer sites.

What youll 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

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 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 managers 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 drivers 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.

Were 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. Its hands-on and customer-facing and youll spend a lot of your time where the machines are.

Why now

Youll be one of the first people in the company. Youll work directly with the founders and shape how we deliver to customers from day one. What you build here becomes the way we work. Well tell you more about the company the founders and our backers in the first conversation.