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Abridge’s ability to deliver the most accurate, personalized, and clinically useful notes is the foundation of our product strategy. Note quality determines clinician trust and our right to expand into more workflows. This role will be responsible for the quality and level of personalization around all notes. The Note Generation group sits at the center of this mission. It owns the models that power documentation, the evaluation systems that measure quality at scale, and the specialty and workflow engines that ensure our output matches how clinicians practice across diverse settings. We are hiring a product leader to lead the product vision, strategy, and execution for Note Generation.
Job Responsibility:
Lead AI product strategy for Note Generation
Oversee the evaluation platform and measurement systems
Drive depth across specialties and clinical contexts
Lead and develop a team of PMs
Foster a culture of excellence, speed, and accountability
Cross functional leadership
Requirements:
7 to 10+ years of product management experience with significant ownership of ML powered products or platform systems
Experience managing PMs and leading high performance product teams
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
Nice to have:
Experience building evaluation platforms, ML observability systems, or quality measurement pipelines
Worked in clinical, healthcare, or regulated environments with high bar for accuracy and compliance
Overseen specialty specific or domain specific model adaptations
Worked on personalization systems, context ingestion frameworks, or ambient intelligence products
Experience shipping large scale ML products with human in the loop workflows
What we offer:
Generous Time Off
Comprehensive Health Plans: Medical, Dental, and Vision coverage