Product Lead, Ai/ml

Abridge Abridge · Vertical AI · San Francisco, CA · Builder

Product Lead for AI/ML at Abridge, focusing on Note Generation. This role drives product strategy and execution for core note models and the evaluation stack, partnering with engineering, ML, design, and clinical leaders. Responsibilities include shaping the roadmap, contributing to the evaluation platform (human annotation, LLM judges, backtesting, production analytics), driving depth across specialties, and ensuring cross-functional execution. Requires 5-8 years of PM experience with ML-powered products, deep understanding of model quality measurement, and technical fluency. Experience with evaluation platforms, clinical/regulated environments, and shipping large-scale ML products is a plus.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Operate with a high bar for quality, speed, and accountability.

Skills

Required

  • 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

Nice to have

  • Experience building evaluation platforms, ML observability systems, or quality measurement pipelines
  • Worked in clinical, healthcare, or regulated environments with a high bar for accuracy and compliance
  • Worked on 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 the JD emphasized

  • significant ownership of ML powered products or platform systems
  • Deep understanding of how to measure and improve model quality
  • Strong technical fluency across ML, data pipelines, and distributed systems
  • Ability to balance long term architectural investments with near term quality improvements
  • A track record of delivering high quality products in domains where accuracy, reliability, and trust are paramount

Other signals

  • owns the models that power documentation
  • evaluation systems that measure quality at scale
  • drive product strategy and execution within Note Generation
  • contribute to our model and evaluation roadmap
  • ship the table stakes and differentiated capabilities required to win the market