Product Lead, AI/ML
Owns product strategy and roadmap for AI note generation models and evaluation systems. Partners with ML, engineering, and clinical teams to improve model quality, build evaluation platforms, and deliver accurate clinical documentation.
About the job
What You'll Do
- Drive AI product strategy and execution within Note Generation. Shape the roadmap for a core area of Abridge's note models and evaluation stack, and own outcomes against it.
- Contribute to the evaluation platform and measurement systems. Help build a world class note quality evaluation system across human annotation, LLM judges, automated backtesting, and in production analytics. Partner with ML and engineering on reliable benchmarks, continuous validation, and fast iteration cycles.
- Drive depth across specialties and clinical contexts. Own specialty priorities within your area and ensure specialty notes reflect clinical expectations, use the right terminology and structure, and match professional norms across care settings. Partner with clinical leaders to define gold standards.
- Cross functional execution. Work closely with engineering and ML to align on architecture, model iteration schedules, evaluation methodologies, and system reliability. Partner with product design to define user control surfaces that leverage model outputs while keeping clinicians in control. Collaborate with customer facing teams to translate real world feedback into the model development loop.
- Operate with a high bar for quality, speed, and accountability.
What You Bring
- 5 to 8 years of product management experience with significant ownership of ML powered products or platform systems.
- Deep understanding of how to measure and improve model quality, including evaluation frameworks, annotation pipelines, and benchmark design.
- Strong technical fluency across ML, data pipelines, and distributed systems.
- Experience working closely with ML researchers and engineers to drive impact in production.
- Ability to balance long term architectural investments with near term quality improvements.
- Strong communication skills and the ability to translate complex technical concepts into clear decisions and narratives.
- A track record of delivering high quality products in domains where accuracy, reliability, and trust are paramount.
Bonus Points If…
- You have experience building evaluation platforms, ML observability systems, or quality measurement pipelines.
- You have worked in clinical, healthcare, or regulated environments with a high bar for accuracy and compliance.
- You have worked on specialty specific or domain specific model adaptations.
- You have worked on personalization systems, context ingestion frameworks, or ambient intelligence products.
- You have experience shipping large scale ML products with human in the loop workflows.
How we take care of Abridgers
- Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
- Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
- Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
- Paid Parental Leave: Generous paid parental leave for all full-time employees
- Family Forming Benefits: Resources and financial support to help you build your family
- 401(k) Matching: Contribution matching to help invest in your future
- Personal Device Allowance: Tax free funds for personal device usage
- Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
- Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
- Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals
- Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment
Skills
Product Management, Machine Learning, Ml Evaluation Frameworks, Annotation Pipelines, Benchmark Design, Data Pipelines, Distributed Systems, Ml Observability, Human-In-The-Loop Workflows, Clinical/Healthcare Domain
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