K Health

Senior Product Manager - Clinician Experience

K Health$150K — $200K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in product management with end-to-end product responsibility
  • Experience with AI/ML products and understanding of model behavior
  • Strong analytical skills to pull data and define metrics independently
  • Exceptional written communication for creating clear alignment
  • Comfortable working in regulated, high-stakes environments
  • Experience engaging with external stakeholders like clinicians and executives

Responsibilities

  • Own clinician-facing product surfaces for AI context and documentation support
  • Manage end-to-end encounter workflows influenced by AI
  • Implement trust and explainability mechanisms for AI behavior
  • Reduce clinical workload by optimizing workflows and documentation processes
  • Collaborate with physicians to ensure workflows align with actual clinical practices
  • Partner with clinical leadership for safety protocols and reviews
  • Translate clinical requirements into actionable product specifications with engineering and AI teams

Benefits

  • Hybrid work schedule with weekly lunches and stocked fridges
  • Monthly social committees for company events
  • 18 vacation days, 9 company holidays, and additional personal/sick days
  • Stock options for every full-time employee
  • Paid parental leave
  • 401k benefit
  • Commuter benefits
  • Comprehensive health, dental, and vision insurance options
Full Job Description
About the role:

As a Senior Product Manager, Clinician Experience you can expect to ship into production at major health systems, work at the AI frontier with real clinical constraints, and operate cross-functionally with engineering, ML, clinical, design, and partner-facing teams.
What you will do:

Clinician Experience


You'll own the products clinicians use to review, act on, and trust what our AI produces: the tools that surface AI-gathered patient context, support clinical decision-making, and fit into workflows that are already overloaded.
  • The clinician-facing product surface: intake summaries, AI-generated patient context, review/override workflows, and documentation support tooling
  • The end-to-end encounter workflow, from AI-gathered context through clinical decision to documentation.
  • Trust and explainability mechanics - how the AI surfaces its reasoning and how clinicians correct or override it
  • Reduction of clinical workload: minutes saved per encounter, clicks removed, documentation burden reduced
  • Work directly with practicing physicians (internal and health system partners) to validate that designed workflows reflect real clinical behavior
  • Partner with clinical leadership on safety review and escalation protocol
  • Engineering and AI/ML teams to translate clinical trust requirements into verifiable, implementable product behavior
What we're looking for:
  • 4+ years of product management experience shipping consumer or B2B2C software; at least one product you owned end-to-end from ambiguity to launch
  • Experience with AI/ML-powered products - you understand non-determinism, know why evals matter, and can reason about model behavior as a product surface
  • Strong analytical fluency: you can pull your own data, define your own metrics, and won't wait for an analyst to tell you what's happening
  • Exceptional written communication - your docs create alignment instead of requiring meetings to explain them
  • Comfort operating in regulated, high-stakes environments
  • Client-facing experience: comfortable presenting to and negotiating with external stakeholders - in our case, clinical, operational, and executive leaders at partner health systems - and holding your ground while staying open to being wrong
Bonus:
  • Healthcare or health tech experience - clinical workflows, EHR integrations, or regulated care delivery environments
  • Experience building tools for expert or professional users
  • A clinical background, or meaningful time spent working alongside clinicians
  • Hands-on experience with LLM evaluation, prompt design, or model behavior testing

Benefits & Perks: #LI-Hybrid
  • Hybrid work schedule with weekly lunches and stocked fridges
  • Monthly social committees for company events
  • 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
  • Stock options for every full-time employee
  • Paid parental leave
  • 401k benefit
  • Commuter Benefits
  • Competitive health, dental, and vision insurance options


Compensation:

$150,000-$200,000 USD

About K Health

K Health is a healthcare company that uses AI and machine learning to provide affordable and accessible primary care to patients. The company's app allows users to input their symptoms and receive a diagnosis and treatment plan from a licensed physician within minutes. K Health also offers virtual visits with doctors and prescription delivery services. The company was founded in 2016 and is headquartered in New York City.
Learn more about K Health
Size
500 employees
Industry
Founded
2016

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