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Product Owner – Medical Imaging & Software Development - 20433 - Stockholms län
ITSenior
Stockholm, SwedenFull-time · On-site Publicerad 29 oktober 2026 Ansök senast 31 oktober 2026
Språk: EnglishMinsta erfarenhet: 5 år
Sam Agassi
HR Administrator
Efterfrågade kompetenser
Product Ownership
Om tjänsten
Assignment Description
We are looking for an experienced Product Owner to join a highly technical agile development team working on advanced imaging technology in a regulated industry.
The team develops imaging solutions for radiation therapy, using real-time X-ray imaging to ensure accurate treatment targeting. The work involves advanced image reconstruction, algorithm development, machine learning, and the reconstruction of 3D images from 2D projections.
You will coordinate stakeholders, guide product priorities, and support a team of specialists developing complex software solutions.
What You Will Work On
- Own and prioritize product requirements for a technically advanced software development team.
- Collaborate with project management, product management, subject matter experts, and quality assurance.
- Translate stakeholder needs into clear requirements and development priorities.
- Support agile development and facilitate effective decision-making.
- Align software development with regulatory and quality requirements.
- Work closely with specialists in image reconstruction, algorithms, and machine learning.
- Balance stakeholder expectations, technical feasibility, and product objectives.
What You Bring
- Master’s degree in Engineering Physics, Electrical Engineering, Computer Science, or an equivalent field.
- Extensive experience in software engineering.
- Proven experience as a Product Owner.
- Experience managing diverse stakeholders, including project management, product management, SMEs, and QA.
- Experience working in a regulated industry.
- Excellent written and spoken English.
- Strong communication, collaboration, and influential leadership skills.
Meritorious
- Experience in the MedTech industry.
- Knowledge of machine learning.
- Experience with algorithms and software for complex technical domains.
- Understanding of systems engineering.
- Experience in medical imaging.