Senior Product Manager (AI, Healthtech)

TL;DR

Senior Product Manager (AI, Healthtech): Leading end-to-end product strategy and execution for Qu platform capabilities with an accent on clinical rigor, regulatory awareness (GDPR/HIPAA, MDR/FDA), and AI integration. Focus on translating complex clinical/technical concepts, partnering with AI/engineering teams, and championing user needs for measurable value.

Location: Remote (with offices in Barcelona and London)

Company

Quadrivia is a health technology company behind Qu, an assistant AI built by clinicians for clinicians, addressing the urgent shortage of healthcare professionals.

What you will do

• Define and drive the roadmap for one or more Qu product capabilities.
• Collaborate closely with clinicians and regulatory experts to ensure all features meet safety, privacy (GDPR/HIPAA), and MDR/FDA medical device standards.
• Use data and experimentation to improve key product metrics such as adoption, engagement, and quality scores.
• Translate complex clinical and technical concepts into clear product requirements and user stories.
• Partner with engineering and AI teams to scope features that balance innovation with safety and compliance.
• Champion user needs to prioritize features that deliver measurable value for clinicians and enterprise customers.

Requirements

• 10+ years of product management experience, including 2+ years in the healthcare or healthtech sector.
• Proven success launching and scaling B2B SaaS or enterprise products in a startup or high-growth environment.
• Experience leading cross-functional teams and working with clinicians, data scientists, and engineers.
• Evidence of improving key metrics such as product adoption, retention, or clinical performance.
• Excellent communication and stakeholder management skills.
• Comfortable navigating ambiguity and making data-informed trade-offs under pressure.
• Experience with AI-driven products (LLMs, cognitive architectures, or clinical decision support systems).

Nice to have

• Familiarity with evaluation frameworks such as vignette-based testing, clinical scorecards, or safety audits.
• Experience building healthcare integrations (Epic, Cerner, Meditech, or APIs for wearables).
• Background in clinical practice, medical research, or biomedical engineering.
• An understanding of clinical workflows, EHR systems, or digital health regulations (MDR, FDA, HIPAA, GDPR).

Culture & Benefits

• Opportunity to shape the future of AI in healthcare, working on impactful problems.
• A global, multidisciplinary team of clinicians, AI scientists, and technologists.
• Competitive compensation.
• A culture that values curiosity, rigor, and impact over hierarchy.