Product Lead, AI/ML

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'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 owns a critical slice of how we deliver on that promise. The Note Quality 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 Manager to drive product strategy and execution within Note Generation. You will partner closely with engineering, ML, design, clinical leaders, and our specialty councils. You will help set the bar for note quality, contribute to our model and evaluation roadmap, and ship the table stakes and differentiated capabilities required to win the market. This role is based out of our beautiful San Francisco office, with a requirement to be in office Monday, Wednesday, and Fridays. Please only apply if you are willing to relocate or commit to hybrid in-office work. 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. Why Work at Abridge? At Abridge, we re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connec...