Workplace
hybrid
Employment
Full-Time
Published
Aug 26, 2026
Closes
No date supplied
The role
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge was founded to power deeper understanding in healthcare. Our ambient AI platform transforms clinical conversations into high-quality documentation and is expanding into clinical workflows such as coding, clinical decision support, and care navigation. The quality of these products depends on the models beneath them - and on our ability to improve those models using signals that only Abridge can access at scale. We are hiring a Product Lead to partner with ML Science on Abridge's foundation-model and post-training work. You will help turn our proprietary corpus of clinical conversations, clinician edits, EHR context, and downstream actions into durable model capabilities. You will own the product strategy that connects research bets to product outcomes: where an in-house model can create meaningful advantage, which capabilities and workloads to prioritize, what evidence is required to scale a
Requirements
Department: Builder; Team: Product