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About the Role
The AI Product Manager leads the strategy and lifecycle management of AI-enabled medical software products, ensuring they address validated customer and user needs while supporting clinical, regulatory, and business objectives. This role is accountable for product discovery, opportunity assessment, prioritisation, roadmap development, backlog management, delivery, launch, and ongoing performance. The AI Product Manager collaborates across functions to establish clear product outcomes, enable informed decision-making, and direct development efforts towards the highest-value opportunities.
Responsibilities
- Manage the full product lifecycle, using customer insights, market evidence, product data, and stakeholder input to identify opportunities, prioritise needs, and maintain the product backlog.
- Apply a global perspective when defining and delivering software products, considering regional customer needs, clinical practices, market conditions, and applicable laws and regulations.
- Demonstrate experience managing software products enabled by technologies such as artificial intelligence, machine learning, medical image analysis, natural language processing, or data analytics.
- Lead the strategy and lifecycle management of AI-enabled medical software products.
- Ensure products address validated customer and user needs.
- Support clinical, regulatory, and business objectives.
- Manage product discovery, opportunity assessment, prioritisation, roadmap development, backlog management, delivery, launch, and ongoing performance.
- Establish clear product outcomes.
- Enable informed decision-making.
- Direct development efforts towards the highest-value opportunities.
Requirements
- Bachelor’s degree or higher in Computer Sciences, Business Administration, Engineering, or other related field (or equivalent and related experience).
- 8-10 years of experience in software product management, either as a product manager, product owner, data scientist, software engineer, or in a role associated with software development.
- 5-8 years of experience in building and clearing Software as Medical Devices, with knowledge of Medical Devices Quality Management and Product Lifecycle Management processes.
- 5+ years of experience working on products across the full product lifecycle (conception, development, go-to-market, and post launch support).
- 5+ years of experience in agile software development methodologies or related activities.
- Strong communication skills and ability to influence colleagues.
- Experience leading complex, cross-functional projects.
- Ability to influence and drive results in cross-functional teams.
- Global experience - ability to empathise with different cultures and organisational set-ups.
- Deep understanding of healthcare, endoscopy, medical imaging products and clinical workflows is desirable.
- Proven track record of product ownership from concept to broad launch in the healthcare industry.
- MS, or PhD or MBA or relevant advanced degree.
- Additional fluency in a European Language (like German, Spanish, etc.) or Japanese is an asset.
Skills
- Product management
- Global product development
- AI and machine learning
- Strategic mindset
- Cultivates innovation
- Drives results
- Decision quality
- Balances stakeholders
- Collaborates
- Instils trust
- Situational adaptability
- Team-oriented
- Fluent in English - written and verbal.
- Excellent communication and interpersonal skills
- Strong problem-solving and analytical skills
- Ability to manage multiple global projects simultaneously
- Strong leadership and decision-making skills
- Passion for technology and for delivering high-quality products
Experience Level
- 8-10 years of experience in software product management
- 5-8 years of experience in building and clearing Software as Medical Devices
- 5+ years of experience working on products across the full product lifecycle
- 5+ years of experience in agile software development methodologies
Education Level
- Bachelor’s degree or higher in Computer Sciences, Business Administration, Engineering, or other related field
- MS, or PhD or MBA or relevant advanced degree