(Senior) Product Engineer (f/m/d)

Clera is recruiting for SelectCode (MeinGPT). Applications through this listing reach Clera via Workfully.

Full-time, 40 hours per week. Hybrid in Unterhaching/Munich or Berlin, Germany, with two work-from-home days per week. English is sufficient; German is not required.

Many companies have access to AI today – but few actually run their core work on it. Your mission: build the features that close the gap between companies having access to AI and companies actually running their core work on it.

Our Mission

The German-speaking Mittelstand is world-class today in industry, quality and specialisation. Our vision: it stays that way – in the AI era, too.

To get there, we take AI in the Mittelstand from the playground into production – sovereign, step by step and with measurable impact. We make the Mittelstand's strengths AI-ready: its knowledge, its processes and its way of carefully improving things. And we bring everyone along, not just the tech-savvy.

More than 500 companies and over 50,000 users have already worked with MeinGPT. We're growing strongly – and investing in our platform, hands-on guidance and our customers' success.

Your springboard in the AI era: With us, you learn directly from real customer problems – with feedback and support from the team. You take on responsibility for real problems early, help build a fast-growing company and work with people and companies who move you forward.

Your Challenge

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.

Our product engineering challenges for 2027:

• AI Buddy: Most people don't know where to start with AI, and a feature list doesn't help. The Buddy takes a different approach: it has a conversation with each user about their work, finds where AI could actually make a difference for them specifically, and guides them to their first real use case. The challenge: building an interaction model that gets honest, specific answers from someone who's never thought about AI before, and turns those answers into something they can actually use.
• Self-service onboarding: We're building the path from first login to a working AI assistant for an entire team in under an hour: templates, connectors, guided setup that walks a non-technical admin through everything they need. The faster a customer finds their first real use case, the faster they expand.
• An AI that knows you: Nobody wants to re-explain their role, their context, and their way of working at the start of every new chat. After a few weeks on MeinGPT, it should just know: your job, your recurring projects, how you like things written. Building the memory layer for that is tractable. What's harder: how do you let someone see what the AI has learned about them, and correct it if it's wrong, without it feeling like a surveillance dashboard?

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.
• English is enough – German is not required.

What's in it for You

• Shape the AI use case platform for the Mittelstand at its most critical growth phase: product decisions that matter, cutting-edge AI integration, and real end-to-end ownership.
• Directly shape the product and its architecture during a phase of strong growth. Your work will be used by thousands of users from day one.
• Salary: €60,000–80,000 (mid-level) or €70,000–90,000 (senior, 5+ years of experience).
• Flexible working hours with the option to work from home 2 days per week.
• Further perks like access to 10,000+ sports facilities with the EGYM Wellpass, a €1,000 annual learning budget, and the 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, Docker
• AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, Notion
• AI Services: OpenAI, Gemini, Claude, Mistral, Gladia

What Happens Next

• 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.

FAQ

Frequently asked questions about this role

01What kind of people thrive at MeinGPT?

People who take ownership, act proactively, and enjoy turning ambiguity into results. We value clear thinking, open communication, and a bias toward action. If you like learning fast, working close to real users, and taking responsibility for outcomes you'll feel at home here.

02How do teams collaborate and make decisions?

We work with high trust and low friction. Decisions are made close to the problem, communication is direct and transparent, and we avoid unnecessary meetings. We move fast, but we also care deeply about quality, security, and long-term sustainability.

03How does MeinGPT support growth and well-being?

We believe sustainable performance beats short-term hustle. You'll get real responsibility, continuous learning opportunities, and room to grow while flexible work, clear priorities, and a healthy team environment help you do your best work over the long term.

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