• Own the product area end to end, covering discovery, problem definition, solution design, delivery, launch, performance measurement, and continuous iteration.

• Shape and evolve the product roadmap based on user needs, business priorities, evidence, technology opportunities, and regulatory considerations.

• Continuously assess the digital health and technology landscape by benchmarking relevant solutions, monitoring emerging innovations, and identifying market trends and best practices.

• Translate complex clinical, behavioral, operational, and technical challenges into clear, actionable product requirements.

• Validate user needs, pain points, adoption barriers, and opportunities across patient and healthcare professional experiences.

• Collaborate closely with clinical, engineering, design, regulatory, and operational stakeholders to ensure solutions are feasible, coherent, scalable, and evidence-informed.

• Identify opportunities for AI and personalization to improve care journeys, engagement, decision-making, and behavioral outcomes.

• Ensure responsible AI principles are incorporated into product decisions, including human oversight, patient safety, privacy, consent, transparency, auditability, and regulatory compliance.

• Identify, assess, and escalate product, clinical, behavioral, AI, technical, and operational risks and dependencies.

• Use qualitative feedback, behavioral insights, product analytics, and performance data to measure outcomes and continuously improve the product experience.

• Translate strategic priorities, user needs, evidence, and technical considerations into a clearly prioritized backlog.

• Define clear user stories, acceptance criteria, and product requirements to support effective delivery.

• Maintain accurate and consistent product documentation throughout the software development lifecycle to support traceability, regulatory requirements, delivery, and stakeholder alignment.

• Make high-impact product trade-offs while balancing user value, clinical needs, business objectives, technical feasibility, safety, and compliance.

Requirements:

• 10+ years of professional Product Management experience, ideally with complex, scalable digital products or platforms.

• Strong systems thinking, critical reasoning, and problem-solving abilities, with the capacity to break down complex clinical, behavioral, business, and technical challenges.

• Strong UX and human-centered product mindset, particularly when designing experiences for patients and healthcare professionals.

• Demonstrated experience creating personalized or adaptive digital experiences, with an understanding of behavior change, motivation, engagement, adherence, and patient decision-making.

• Practical experience designing or managing AI-powered user experiences, particularly where AI enhances personalization, context-aware interactions, engagement, decision-making, or behavior change.

• Understanding of responsible AI principles, including user trust, appropriate human oversight, transparency, safety, and measurable value.

• Strong analytical and data literacy, with the ability to interpret product and behavioral data, define meaningful success metrics, and make evidence-based product decisions.

• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical, clinical, regulatory, operational, and business teams.

• Strong ability to translate complex requirements into clear product strategies, priorities, user stories, and acceptance criteria.

• Comfortable working in fast-paced, agile, cross-functional, and regulated environments.

• Fluent English.

Preference given to candidates with:

• Professional experience in healthcare or digital health, with a strong understanding of care pathways, patient journeys, and healthcare ecosystems.

• Formal education or professional background in Behavioral Science, Psychology, Human Factors, or a related discipline.

• Experience working in regulated healthcare environments such as MedTech, Software as a Medical Device (SaMD), or comparable settings.

• Experience working with tools such as Jira, Confluence, Figma, and Microsoft Suite.

Benefits:

• Remote working within a collaborative, international, cross-functional environment.

• Significant ownership over an important digital health product area.

• The opportunity to work at the intersection of AI, healthcare, behavioral science, UX, and data.

• The chance to contribute to products designed to improve patient and healthcare professional experiences.

• Exposure to complex real-world healthcare challenges and regulated product development.

• Close collaboration with clinical, engineering, design, regulatory, and operational specialists.

• An agile environment that encourages evidence-based decision-making, innovation, and continuous improvement.

• Competitive compensation based on location, experience, skills, qualifications, internal equity, and role scope.

• Indicative Europe salary range of €55,000–€65,000 gross annually.

• English-speaking international working environment.

• Opportunity to contribute to the responsible adoption of AI and personalized digital health solutions.