MeinGPT is the AI use case platform for the Mittelstand: we take employees to their first own AI use case – and companies deep into their core processes.
Our customers include ZDF Studios, Bavaria Film, Olympiapark München, Caritas Austria, LAUDA and Buhlmann.
Access to AI is no longer the bottleneck. Companies can spin up a chat interface in hours. Real value goes beyond just a chat: an AI that learns from you, is proactive, and actually supports day-to-day work, not just rephrasing text. As a product engineer, it's your job to close the gap from a collection of features to a well-rounded, cohesive product experience.
Activities
You're building interaction models that don't have a playbook yet. How should AI features work for someone who's never used AI in a work context before? How do you make AI capabilities discoverable for someone who doesn't know what's possible? How do you guide a team from "we have access to AI" to "this is actually part of how we work"? Our customers aren't early AI adopters. They're the admin at a manufacturing company who ran 19 training sessions last month because the person supposed to run them quit. These are real, open questions. Answering them is the job.
You work closely with our product designer, sometimes co-designing from scratch, sometimes driving a feature end-to-end yourself. Either way, the user experience is your responsibility, not a handover. The measure isn't whether the feature works. It's whether that admin can find it, understand it, and reach their goal without anyone explaining it to them.
Requirements
- 3+ years building full-stack features in production: React and TypeScript on the frontend, backend logic and data modeling on the other end. You own the whole feature, not just the UI layer.
- You own the entire user experience of a feature, not just the code diff: information architecture, user flow, copy, and error states are part of the implementation, not someone else's job.
- You think from the customer's perspective: does this actually solve the problem? Can they find it? Can they use it without being shown how? And you act on the answer.
- Attention to detail that's active, not occasional: you notice the misaligned spacing, the missing loading state, the confusing copy. Fixing it is just part of how you work.
- You share what you know (context, tradeoffs, open questions) and make the engineers around you better at their work.
- English is enough – German is not required.
Team
- We use AI tools (Cursor, Claude Code, Codex etc.) daily to move faster, but you stay in control and responsible for your code.
- Meetings are kept minimal to protect deep work time.
- Healthy Ambition: big goals, sustainable pace, people who actually like working here.
- Fast Delivery, Close to the User: we ship fast, stay close to our customers, and let direct feedback drive next steps.
Our stack
- Core: React, TypeScript, tRPC, Electron, PostgreSQL, Kubernetes, Docker
- AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, Notion
- AI Services: OpenAI, Gemini, Claude, Mistral, Gladia
Application Process
- Application: Submit your profile through our short form.
- Intro Call (30 min): A short chat about your motivation and our mutual expectations.
- Technical Interview (Remote, 90 min): A live coding session to showcase your skills.
- Founders Interview (On-site, 90 min): Meet the founders at our office and discuss your experience and ambitions.
- Offer: If it's a great fit for both sides, we'll make you an offer.