Senior Product Engineer - AI Startup

Meingpt — Germany · Posted ~5 hours ago

Senior Full-time EUR 60000-90000

Skills

product engineering AI product development user experience interaction design product development React TypeScript PostgreSQL Kubernetes AI generative AI

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Summary ✨ AI‑Generated

Join an AI-focused product engineering team building practical software for professional users. You will design interaction models for emerging AI capabilities, make complex functionality approachable, and help turn powerful AI features into cohesive, useful product experiences.

Highlights

Shape AI-powered product experiences from concept to cohesive workflows, focusing on usability, discoverability, interaction models, and meaningful adoption in professional environments.

Description

Our Mission 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. tl;dr: Munich/Unterhaching or Berlin • 40h/week • EUR 60-90k 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.€1,000 annual learning budget, EGYM Wellpass (10,000+ sports facilities), Deutschlandticket. 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 Core: React, TypeScript, tRPC, Electron, PostgreSQL, Kubernetes, DockerAI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, NotionAI Services: OpenAI, Gemini, Claude, Mistral, Gladia Next Steps 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.