Member of Product Staff, Foundation Models & Post-Training

The role

You will set product strategy for Abridge's model family and connect research bets to product outcomes. You will work with ML Science and other teams to turn clinical conversation data into durable model capabilities.

What you will do

• Set product strategy for Abridge's model family across capability, quality, latency, cost, safety and controllability
• Own the path from research to product impact, including milestones, decision gates and success metrics
• Shape how Abridge uses de-identified conversations, clinician edits, EHR context and care actions as training signals
• Build frameworks for choosing a frontier model, an open model, a prompted workflow or an Abridge-trained model
• Partner with Evals on promotion criteria for each model use case
• Turn production failures and clinician feedback into training priorities
• Align ML Science, ML Engineering, Product Engineering, Clinical Science, Data and Evals teams around priorities and delivery
• Explain research choices clearly to executives and product teams

Required qualifications

• 7+ years of product-management or closely related experience
• Substantial ownership of ML-powered products, model platforms or AI infrastructure
• Track record of turning ambiguous technical capabilities into shipped products with measurable outcomes
• Working knowledge of the model-development lifecycle, including data strategy, fine-tuning, preference optimization, evaluation, inference and production monitoring
• Technical judgment to reason with ML scientists and engineers on training objectives, data quality, model selection, latency and serving cost
• Product judgment on where proprietary models create durable differentiation
• Experience creating clarity across multiple teams and resolving disagreement
• High bar for evidence, safety and trust in clinical AI
• Excellent written and verbal communication

Nice to have

• Direct work on LLM post-training, reinforcement learning, preference optimization, distillation, model routing or domain-adaptive pretraining
• Managed a portfolio spanning frontier APIs, open-source models and in-house models
• Experience with human-feedback or expert-annotation systems
• Shipped AI in healthcare, life sciences or another regulated domain
• Worked on clinical documentation, medical reasoning, agentic workflows or longitudinal context
• Partnered with research teams on high-compute bets requiring staged evidence

Benefits

• 14 paid holidays
• Flexible PTO for salaried employees and accrued time off for hourly employees
• Medical, dental and vision coverage for full-time employees and their families
• Monthly HSA contributions if you choose a High Deductible Health Plan
• Paid parental leave for full-time employees
• Family-forming benefits and financial support
• 401(k) matching
• Tax-free personal device allowance
• Access to FSA and commuter benefits
• Monthly lifestyle wallet for fitness, professional development, coworking and more
• Therapy and coaching access
• Paid sabbatical leave after 5 years of employment

Before you apply

• You must be located in San Francisco or willing to relocate to San Francisco
• Abridge will never ask for payment, bank account numbers or social security numbers during hiring; recruiting emails come from an @abridge.com address

About the company

Abridge was founded in 2018 as an AI-native clinician intelligence platform used by more than 300 large U.S. health systems. Its team includes clinicians, AI scientists, PhDs, creatives, technologists and engineers, with offices in San Francisco, New York and Pittsburgh.