(Senior) Product Engineer for AI-Startup (f/m/d)

meinGPT; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Hybrid work model

Remote interview

Zusammenfassung

MeinGPT is building the AI use case platform for the Mittelstand, turning AI experiments into day-to-day workflows. As a product engineer, you’ll own end-to-end features, ensuring discoverability and a seamless user experience for admins at customer sites.

You’ll work with our design team, shape information architecture, and drive features from concept to shipping, while keeping the user at the center of every decision.

Qualifikationen

• 3+ years building full-stack features in production.
• Frontend with React and TypeScript; backend logic and data modeling.
• Own the entire feature including UX aspects, not just code.
• Attention to detail in spacing, loading states, and copy to ensure solid UX.
• Share context and tradeoffs to improve nearby engineers’ work.

Aufgaben

• Own end-to-end feature development from UI to data modeling and backend logic.
• Shape information architecture, user flow, copy, and error states for features.
• Collaborate with design to deliver cohesive product experiences.

Kenntnisse

Full-stack development

React

TypeScript

Backend development

UX-focused

Tools

Cursor

Claude Code

CodeRabbit

Linear

GitLab

Notion

Jobbeschreibung

Our mission with MeinGPT: be the AI use case platform for the Mittelstand — the platform that gets companies from their first AI experiment to AI that runs their actual work.

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.

Your Mission

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.

What We Are Looking For

• 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.

What's In It For You

• Shape the technical foundation of a platform that's actively scaling: your architectural decisions outlast any single feature.


• Work in a novel, data-intensive field with interesting scaling challenges: making terabytes of data available to AI on-demand, providing compute infrastructure for AI agents at scale, and making MeinGPT a flexible platform to build AI applications on.


• Flexible working hours with the option to work from home 2 days per week.

How We Work

• 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

• AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, Notion

Next Steps

• 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.