Technical Product Owner (all)
Technical Product Owner (all)
- Verifizierte Job-Anzeige
- Art der Anstellung: Vollzeit
- 62.000 € – 81.000 € (von XING geschätzt)
- Zu den Ersten gehören
Technical Product Owner (all)
Über diesen Job
You are interested in the position as Technical Product Owner (all) at mediaire GmbH?
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Please note that the position is only available to applicants from Germany and other EU countries.
The language requirements for this position are: English - Fluent.
The estimated salary range from XING does not necessarily correspond to the salary range of this job offer.
The Technical Product Owner acts as the bridge between clinical user needs and AI-driven product development. This role is responsible for translating strategic product roadmaps into actionable tasks, managing sprints, and ensuring timely delivery of high-quality solutions. With a strong technical understanding of AI-based applications, the position guides architecture discussions, collaborates with regulatory teams for compliance, and supports the continuous growth and mentorship of the development team.
Activities
- Shape the product direction: Align with product management on the strategic product roadmap.
- Drive execution: Break down the roadmap into actionable milestones, sprints and clear, well-specified and prioritised tickets, and take full ownership for their delivery.
- Own sprint planning: Drive timely delivery of product milestones through effective sprint planning and backlog management.
- Be the technical anchor: Maintain a deep technical understanding of our AI solutions to guide architectural discussions in the dev team and to contribute hands-on technical work when needed.
- Act as tech liaison: Serve as the central contact point across development teams and stakeholders for all technical questions about the product.
- Ensure compliance: Collaborate with the regulatory team and QA to ensure compliance with medical device standards, including working on the technical documentation.
- Support team growth: Mentor and guide team members in their technical and professional development.
Requirements
- 3+ years of experience in the field of machine learning (in industry or academia); less experience is also welcome for junior-level candidates — ideally with exposure to medical imaging.
- University degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.
- Interest or experience in product ownership, team leadership, and mentoring others.
- Solid understanding of machine learning algorithms and their practical application.
- Familiar with version control, unit testing, and continuous integration; committed to clean, maintainable, and well-documented code.
- Clear, concise communicator — able to bridge technical and non-technical teams.
- Independent thinker who thrives in dynamic, fast-paced environments and prioritizes collaboration over ego.
Team
We’re an open, focused, and technology-driven team that thrives on collaboration and innovation. We combine professionalism with curiosity and creativity—and always make sure to enjoy the journey together.
Application Process
- First Interview – Meet our CTO, Jörg.
- ML Interview – Conversation with one Member of our ML Team.
- Challenge – Work on a case to showcase your skills.
- Challenge Interview – Present your approach and discuss solutions.
- Team Fit & Final Interview – Get to know different team members and ensure a cultural match.
About the Company
mediaire was founded in 2018 by Dr. Andreas Lemke and Dr. Jörg Döpfert, both physicists with a background in MRI physics, united by a shared vision: improving healthcare through AI. Today, we develop cutting-edge software that enables radiologists to assess medical imaging data faster, more precisely, and more objectively —supporting better diagnoses and better patient outcomes.
Our Vision: A healthier world with universal access to accurate diagnoses.
Our Mission: AI power in every scan. Confidence in every diagnosis. Efficiency that reaches every patient.
At mediaire, we live by our values: Innovation, Integrity, Dedication, Customer-Centricity, and Teamwork. If you’re ready to shape the future of medical AI and make an impact on global healthcare, join us!