Product Manager - Core Product Experiences

Abridge · Vertical AI · San Francisco, CA · Builder

Product Manager to own product strategy and execution for a core product area focused on clinical documentation and workflow experiences. The role involves building AI-generated artifacts and workflows that help clinicians, integrating with EHR environments, and driving product outcomes. Requires strong product sense, user empathy, and experience shipping products, preferably in healthcare or with ML/AI-powered products.

What you'd actually do

  1. Own product strategy for a Core Product area. Define the vision, roadmap, and success metrics for your domain — whether that's note quality, clinical workflows, personalization, or care settings. Prioritize ruthlessly based on user impact, competitive dynamics, and data.
  2. Go deep with clinicians. Conduct hands-on user research — shadowing clinicians in exam rooms, watching them interact with notes, understanding the friction they face across specialties and care settings. Turn those insights into product conviction.
  3. Ship high-quality clinical workflows. Partner with engineering, design, and ML to build experiences that are intuitive, reliable, and clinically useful. Sweat the details — you care about the difference between a note that's "fine" and one that makes a clinician trust the product.
  4. Integrate deeply with EHR environments. Work across Epic and other EHR surfaces to ensure Abridge workflows fit seamlessly into existing clinical routines. Understand the constraints and opportunities of embedded vs. standalone experiences.
  5. Define metrics and drive outcomes. Establish clear KPIs — adoption, retention, encounter share, quality scores — and use data to evaluate what's working. Build a culture of measurement and iteration on your team.

Skills

Required

  • 5+ years of product management experience shipping products that users love, with a track record of owning product areas end-to-end.
  • Builder mentality. You've personally driven products from discovery through launch and iteration. You care about craft and quality in what you ship.
  • Strong user empathy and product taste. You instinctively know the difference between a product that works and one that delights. You've built that instinct through direct, repeated exposure to users.
  • Comfort with ambiguity. You can take a messy problem space and create a clear roadmap without waiting for perfect information.
  • Cross-functional credibility. You can go deep with ML engineers on model tradeoffs, partner with design on interaction details, and present strategy to health system executives. You earn trust through competence and follow-through.

Nice to have

  • Healthcare or clinical workflow experience strongly preferred. You understand how clinicians work, how health systems buy, and why healthcare products are hard to get right.
  • You have built ML/AI-powered products and understand how to design around model capabilities and limitations.
  • You have worked with Epic or other EHR platforms and understand what it takes to build great embedded experiences.
  • You actively use AI tools in your own work — prototyping, analysis, writing, coding — and have strong intuition for how AI products should behave and where they fall short.
  • You have a technical background (engineering, CS, or similar) and are comfortable going deep on system design, data models, and technical tradeoffs with engineering teams.

What the JD emphasized

  • AI-generated artifacts
  • clinicians' lives
  • clinicians love
  • clinicians
  • ML
  • clinicians
  • clinicians
  • clinicians
  • clinicians
  • clinicians
  • clinicians
  • ML/AI-powered products
  • AI tools
  • AI products

Other signals

  • AI-powered platform
  • generative AI for healthcare
  • AI-generated summaries
  • responsible deployment of AI
  • ML, engineering, design, clinical science, and commercial teams