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Abridge is an AI-powered healthcare platform that transforms patient-clinician conversations into structured clinical notes in real-time. Founded in 2018, the company has built enterprise-grade technology with deep EMR integrations and is a pioneer in generative AI for healthcare.
You will join Abridge's Life Sciences team as its second PM, owning a product area end-to-end. This is an early-stage opportunity with significant room to shape what gets built. You'll work alongside the existing Life Sciences PM to develop products that create value for life sciences partners and health systems.
Key responsibilities include:
- Own a Life Sciences product area end-to-end: define customer problems, product direction, roadmap, and success measures aligned with broader Life Sciences strategy
- Shape strategy by prioritizing opportunities, coordinating dependencies, and making tradeoffs across the portfolio
- Lead discovery with life sciences partners to understand workflows, data needs, buying processes, and willingness to pay
- Build and ship new products in collaboration with engineering, ML, design, and clinical teams
- Distinguish customer-specific requests from market-wide needs to build scalable capabilities
- Connect product development to commercialization by partnering with business development and sales on pilots, positioning, pricing, and value measures
- Build with privacy and trust at the center, working with legal, clinical, and engineering teams on data use and patient/health system protection
- Measure outcomes and iterate using evidence to improve product quality, adoption, customer value, and business impact
The role is hybrid, requiring 3 days in-office (Monday, Wednesday, Friday) at either the San Francisco or New York City office. There are no exceptions to the location requirement or in-office policy.
Requirements:
- 5+ years of product management experience with meaningful time building products for or within life sciences (pharma, biotech, medical device, health data/analytics)
- 0-to-1 product shipping experience
- Commercial fluency: experience working closely with sales, partnerships, or BD on early-stage deals
- Comfort with ambiguity and strong discovery/hypothesis-testing skills
- Strong cross-functional credibility across ML, legal, and business stakeholders
- Clear, direct written and verbal communication skills
Bonus qualifications:
- Experience with real-world evidence, observational data, or clinical data platforms (Flatiron, Symphony Health, IQVIA)
- Familiarity with pharma digital health partnerships or data licensing deal structures
- Prior work at the intersection of AI/ML and clinical data
- Knowledge of IRB considerations, HIPAA, or de-identification frameworks
