Product Lead, Cds

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

Product Lead for Clinical Decision Support (CDS) at Abridge, an AI-powered healthcare platform. The role involves owning the end-to-end strategy, in-workflow experience, and content/partnership strategy for a chat-based assistant that provides clinicians with evidence-based guidance during patient visits. This requires deep user research, collaboration with ML, engineering, and design teams, EHR integration, and defining success metrics. The ideal candidate has 7+ years of product management experience, a track record of shipping complex AI products, strong technical fluency, and comfort with clinical/evidence-based content. Bonus points for experience with agentic systems, RAG, or regulated environments.

What you'd actually do

  1. Own CDS strategy and roadmap.
  2. Own the content and evidence strategy.
  3. Go deep with clinicians.
  4. Ship high-quality in-workflow experiences.
  5. Integrate deeply with EHR environments.

Skills

Required

  • 7+ years of product management
  • significant ownership of complex, high-stakes, or AI products
  • Track record of shipping 0 to 1 products and taking them to real adoption and revenue
  • Strong product taste and user empathy
  • Comfort working with clinical, scientific, or evidence-based content
  • high bar for accuracy in domains where being wrong has real consequences
  • Strong technical fluency
  • Ability to make build vs. buy vs. partner decisions and defend them
  • Clear communication

Nice to have

  • clinical, healthcare, or medical informatics experience
  • shipped EHR-integrated clinical workflow products
  • built agentic or assistant-style products
  • worked with medical content, knowledge bases, or evidence retrieval and grounding systems (e.g., RAG)
  • worked in regulated environments with a high compliance bar

What the JD emphasized

  • complex, high-stakes, or AI products
  • shipping 0 to 1 products
  • clinician actually trusts and acts on
  • high bar for accuracy
  • hold your own with engineering and ML on tradeoffs
  • build vs. buy vs. partner decisions
  • agentic or assistant-style products
  • regulated environments with a high compliance bar

Other signals

  • AI-powered platform
  • generative AI for healthcare
  • clinical decision support
  • chat-based assistant
  • draws on patient's chart, medical literature, and conversation
  • surfacing guidance without interrupting care
  • ML, engineering, design, and commercial teams
  • strategy, the in-workflow experience, and the content and partnership strategy
  • early access to broad adoption
  • new capabilities and expansion opportunities
  • guidance that's genuinely useful and safe
  • alert fatigue
  • answering clinicians' questions on demand
  • proactively surfacing the right evidence
  • evidence quality and clinical validity
  • guidelines, journals, and reference sources
  • hands-on user research
  • shadowing clinicians in exam rooms
  • friction they face
  • product conviction
  • ship high-quality in-workflow experiences
  • timely, trustworthy, and easy to act on
  • EHR environments
  • Epic and other EHR surfaces
  • seamlessly into existing clinical routines
  • chart context (labs, meds, prior notes)
  • embedded vs. standalone experiences
  • adoption, engagement, and clinical quality and safety
  • culture of measurement and iteration
  • navigate ambiguity and move fast
  • create structure and clarity
  • form hypotheses, test them quickly
  • complex, high-stakes, or AI products
  • shipping 0 to 1 products
  • real adoption and revenue
  • strong product taste and user empathy
  • build for real user workflows
  • clinician actually trusts and acts on
  • clinical, scientific, or evidence-based content
  • high bar for accuracy
  • technical fluency
  • hold your own with engineering and ML on tradeoffs
  • quality, latency, reliability, and what's feasible
  • build vs. buy vs. partner decisions
  • clear communication
  • explain complex tradeoffs simply
  • clinical, engineering, and business partners aligned
  • agentic or assistant-style products
  • reason, retrieve, and act across tools
  • medical content, knowledge bases, or evidence retrieval and grounding systems
  • RAG
  • regulated environments with a high compliance bar
  • transforming healthcare delivery experiences with generative AI
  • millions of medical conversations processed each month
  • fast-paced, high-growth startup
  • extreme ownership
  • make an impact on our customers and our business
  • curious, high-achieving people
  • supportive environment
  • success is shared