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

meinGPT; München; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working hours

Work from home 2 days per week

Job summary

MeinGPT in München is seeking a product engineer to turn a collection of features into a cohesive platform for the Mittelstand. You will own full-stack features from frontend React/TypeScript to backend data modeling, and ensure the user experience is discoverable and easy to use.

Collaborate with product designers, ship end-to-end features, and keep deep work time with minimal meetings; participate in shaping the platform’s technical foundation as it scales to meet growing demand.

Qualifications

• 3+ years building full-stack features in production.
• Own the entire feature including UX, IA, copy and error states.
• Think from the customer's perspective and measure impact.
• Attention to detail and proactive problem solving.

Responsibilities

• Partner with product designer to deliver end-to-end features.
• Own information architecture, user flow, copy and error states.
• Ship features with minimal meetings and fast feedback loops.
• Improve UX and code quality while aligning with business goals.

Skills

Full-stack development

React

TypeScript

UX ownership

Customer focus

Tools

Cursor

Claude Code

Codex

Linear

GitLab

Notion

Job description

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