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Layer HealthLayer HealthBoston, MA

Product Manager

Product Manager building AI-powered clinical intelligence features. Own features from discovery to launch, partner with engineering and clinicians, and integrate with EHR systems. Requires 2-4 years PM experience and technical curiosity.

110k – 160k/yr
On-site2+ YOEProduct Management

About the role

Responsibilities

  • Contribute to the AI UX: Partner with design and engineering to help shape how healthcare professionals interact with AI, making complex LLM outputs clear, intuitive, and actionable.
  • Learn Clinical Workflows: Spend time with clinicians and nurses to understand their day-to-day work, document friction points, and identify where Layer Health’s platform can save hours of manual effort.
  • Support Data Integration: Work with engineering and customers to understand how our products connect with the healthcare stack—including EHRs (Epic, Cerner), HL7/FHIR standards, and clinical data pipelines—and help prioritize integration work.
  • Ship Product Features: Own well-scoped features from discovery through launch, partnering with engineering to deliver reliable AI-powered experiences in production environments where accuracy and trust matter.
  • Close the Feedback Loop: Help collect and synthesize clinician feedback, partner with research on model evaluation, and turn learnings into concrete product improvements.

Requirements

  • 2–4 years of Product Management experience, ideally in B2B software, health-tech, or another complex, high-stakes domain.
  • Technically Curious: Comfortable working alongside engineers and researchers. Exposure to AI/ML products (or strong interest in learning) and understand that shipping LLM-powered features requires iteration, evaluation, and attention to edge cases.
  • Healthcare Interest: Motivated to learn clinical workflows and the realities of medical charting. Prior health-tech experience is a plus, but not required.
  • Structured Thinker: Can break down ambiguous problems, write clear specs, and coordinate across teams. Familiarity with data systems, APIs, or enterprise software integrations is helpful.
  • Early-Stage Mindset: Eager to wear multiple hats, move fast, and grow into broader ownership as the company scales.

Nice-to-Haves

  • Prior health-tech experience
  • Exposure to AI/ML products
  • Familiarity with data systems, APIs, or enterprise software integrations

Skills

Product ManagementAI/MLLLMsEhrEpicCernerHl7FHIRB2B SoftwareData Integration

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