Staff Product Manager, AI Product
PathaiThis Staff Product Manager role focuses on AI/ML products within the health-tech space. You will lead multi-year roadmaps and move algorithms from scientific discovery to clinical deployment.
What you’d own
- Multi-year product strategy and roadmap for AI algorithm portfolios
- End-to-end lifecycle including prototyping, requirements, and deployment
- Business cases for novel technical and platform capabilities
- Regulatory and quality validation strategies (SaMD)
Who it’s for
A fit if you…
- ✓You have 7+ years of experience in product management with a focus on AI/ML or bioinformatics.
- ✓You possess a technical degree in CS, Biology, or a related scientific field.
- ✓You have experience navigating healthcare, life sciences, or biotech domains.
- ✓You are comfortable translating complex algorithmic discoveries into user-centric tools.
Not for you if…
- ✗You prefer pure software products without heavy regulatory (SaMD) and quality constraints.
- ✗You prefer a purely technical role without significant cross-functional stakeholder management.
- ✗You are looking for a 'zero-to-one' role that doesn't involve scaling existing portfolios.
Reading between the lines
- The mention of 'SaMD considerations' and 'regulatory pathways' implies a highly regulated environment with strict compliance requirements.
- The requirement to bridge 'scientific discovery' and 'business cases' suggests you will need to translate academic/research goals into commercial milestones.
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Full job description
About Pathai
See all roles →PathAI builds AI-powered pathology tools for biopharma companies and anatomic pathology labs. Its AISight platform is a cloud-native system for managing digital slide images and cases and running AI models on them, and it received FDA clearance for primary diagnosis in 2025. The company works with 70% of the top 15 biopharma companies, plus labs like Labcorp and MedStar Health, and has signed a definitive agreement to be acquired by Roche. PMs here work in a regulated clinical setting, backed by a network of more than 300 board-certified pathologists who annotate training data. Some roles are remote anywhere in the US, and others sit in Boston or New York.
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