Member of Product Staff, Foundation Models & Post-Training
abridge · United States · US
Health Tech
Remote
physician
Dentist
Nurse
Pharmacist
Demand82
Career growth80
Healthcare fit48
Remote potential20
Salary band
USD 250k – 290k
5-year outlook
Likely strong senior product compensation with equity at an AI-health company, but the posting does not provide salary figures; growth depends on scaling model products and commercial traction.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-10-29
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Profession fit
- physician, Dentist, Nurse, Pharmacist
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying only if you have strong product and ML/AI experience plus clinical domain fluency and can be in San Francisco. Most clinicians without technical product background should not prioritize this role.
Who should apply
Physician-product leaders, clinical informatics professionals with ML/AI product experience, and technical product managers with deep healthcare workflow knowledge. Best suited to clinicians who have shipped AI documentation, EHR-integrated products, or model-driven clinical workflows.
CV angle
Reframe clinical experience as domain product expertise: clinician workflow pain points, EHR documentation, feedback loops, patient safety, quality, and cross-functional work with engineering/data teams. Quantify any product, informatics, or AI deployment work, and do not claim ML research unless genuinely held.
Skills to highlight
- Product strategy
- Foundation models and post-training
- ML product lifecycle
- Clinical workflow expertise
- EHR integration
- Model evaluation and evals
- Data privacy and de-identification
- Cross-functional leadership
Role summary
Senior product leadership role at Abridge setting strategy for foundation models and post-training, turning clinical conversation data, clinician edits, and EHR context into production AI capabilities.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.