Summary
✨ AI‑Generated
Join a product engineering team building digital healthcare solutions and internal tools. You will work across frontend, backend, APIs, integrations, architecture, monitoring, and AI-powered features, translating domain needs into reliable and secure products. The role offers broad technical ownership from discovery through rollout and continuous improvement, in a collaborative hybrid environment.
Highlights
End-to-end ownership of product features, meaningful work in healthcare technology, opportunities to build AI-powered capabilities, and a collaborative product-focused environment with substantial autonomy.
Description
The Role
We are looking for an experienced Full-Stack Product Engineer (3+ years professional experience for the regular role, 5+ years for Senior) to build and operate our patient platform and internal tools in a hybrid team based in Munich.
This is not a remote-only position.
We work hybrid: 2–3 home office days per week, presence at our Munich office on the remaining days.
Your Responsibilities
End-to-end development and operation of frontend, backend, APIs, and system integrations – from idea to monitoring Translate medical and operational requirements into clear product and feature concepts, working closely with Product and domain experts Implement and integrate AI-powered features, decision support tools, and data products Own the full feature lifecycle: discovery, architecture, implementation, rollout, monitoring, and iterative improvement Ensure reliability, security, and data privacy in a healthcare context Prioritize by business impact – no over-engineering culture
Must-Haves
3+ years of professional software development (5+ for Senior) Strong hands-on experience in several of: React / React Native, TypeScript, Python, Django, Kubernetes Practical AI/ML experience – LLMs, RAG architectures, not buzzword-level familiarity German at C1 level (fluent) – the team and medical domain experts communicate in German English at B2 level – sufficient for technical documentation and code comments Strong product and business mindset with startup ownership mentality Pragmatic approach: shipped and working beats perfect and never released
Nice-to-Have
Experience with encryption, data privacy, and compliance (health data) Prior work in healthcare
What We Offer
Purpose-driven work with direct impact on chronic disease patient outcomes Modern tech stack with real AI applications (no buzzword project) Short path from idea to production – you shape the product, not process tickets VSOP participation in company success Personal learning and development budget Flexible hybrid model (2–3 home office days/week) in Munich Flat hierarchies, transparent communication, weekly OKRs Team events, Oktoberfest tradition, office snacks, Wellpass membership
Hiring Process
Initial chat (20 min) – Get to know each other, culture & team fit Technical interviews (2 x 60 min) – Technical deep dive + case interview Final interviews (2 x 60 min) – Peer & bar raiser
