Senior Product Manager - Clinician Experience
New York, NY · HybridFull-time$150–200K/yrPosted 3mo agoStill listed 3 days ago
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Job overview
K Health is hiring a Senior Product Manager - Clinician Experience. The Senior Product Manager, Clinician Experience will ship AI‑powered products into major health systems, translating clinical trust requirements into usable tools that surface patient context, support decision‑making, and reduce clinician workload. The role collaborates cross‑functionally with engineering, ML, design, and partner‑facing teams to deliver end‑to‑end encounter workflows.
Key focus areas include Own the clinician‑facing product surface, including intake summaries, AI‑generated patient context, review/override workflows, and documentation support tools., Design and manage the end‑to‑end encounter workflow from AI‑gathered context through clinical decision to documentation., and Define and implement trust and explainability mechanics for AI reasoning and clinician overrides..
Successful candidates bring 4+ Years Product Management Experience and Owned One Product End-To-End From Ambiguity To Launch. Important skills include AI/ML-Powered Products, Analytical Fluency, Communication, Operating In Regulated Environments, Client-Facing Experience, and Presenting To External Stakeholders. Preferred (not required): Healthcare Experience, Health Tech Experience, Building Tools For Expert Users, and Building Tools For Professional Users.
Skills & qualifications
Skills
Qualifications
Benefits
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.
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The clinician-facing product surface: intake summaries, AI-generated patient context, review/override workflows, and documentation support tooling
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The end-to-end encounter workflow, from AI-gathered context through clinical decision to documentation.
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Trust and explainability mechanics — how the AI surfaces its reasoning and how clinicians correct or override it
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Reduction of clinical workload: minutes saved per encounter, clicks removed, documentation burden reduced
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Work directly with practicing physicians (internal and health system partners) to validate that designed workflows reflect real clinical behavior
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Partner with clinical leadership on safety review and escalation protocol
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Engineering and AI/ML teams to translate clinical trust requirements into verifiable, implementable product behavior What we’re looking for:
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4+ years of product management experience shipping consumer or B2B2C software; at least one product you owned end-to-end from ambiguity to launch
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Experience with AI/ML-powered products — you understand non-determinism, know why evals matter, and can reason about model behavior as a product surface
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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
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Exceptional written communication — your docs create alignment instead of requiring meetings to explain them
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Comfort operating in regulated, high-stakes environments
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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:
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Healthcare or health tech experience — clinical workflows, EHR integrations, or regulated care delivery environments
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Experience building tools for expert or professional users
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A clinical background, or meaningful time spent working alongside clinicians
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Hands-on experience with LLM evaluation, prompt design, or model behavior testing Benefits & Perks: #LI-Hybrid
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Hybrid work schedule with weekly lunches and stocked fridges
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Monthly social committees for company events
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18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
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Stock options for every full-time employee
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Paid parental leave
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401k benefit
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Commuter Benefits
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Competitive health, dental, and vision insurance options Compensation: $150,000 — $200,000 USD Who We Are:
Behind every leading health system is K Health’s AI-powered virtual care engine.
Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.
Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.
We’re founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.
We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.
We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.
We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.
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