Product Manager, Health Plans

H1's Health Plans team is building the data infrastructure and product intelligence that connects payers with the provider and clinical data that powers their most critical decisions — network management, utilization review, quality measurement, and member navigation. This Product Manager role sits at the intersection of payer operations, provider data, and H1's core HCP intelligence platform, reporting directly to the Head of Health Plans Product.

As Product Manager, Health Plans, you will own the roadmap and execution for H1's health plans product surface — working closely with payer clients, data science, engineering, and commercial teams to define what we build and ensure it delivers measurable value for health plan stakeholders.

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  Own the product roadmap for H1's health plans product suite — prioritizing features that improve network management, provider directory accuracy, utilization analytics, and quality measurement for payer clients

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  Conduct ongoing discovery with health plan stakeholders — network managers, provider data management teams, and credentialing leads — to surface unmet needs and translate them into actionable product requirements

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  Partner with data science and engineering to improve provider data completeness, accuracy, and freshness in ways that are directly useful to payer workflows

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  Define success metrics and own reporting on adoption, data quality, and client satisfaction across the health plans product surface

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  Collaborate with commercial and customer success teams to ensure product investments support retention and expansion with health plan clients

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  Translate complex payer regulatory requirements — network adequacy,provider directory, credentialing — into clear, prioritized product decisions that engineering and design can execute

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  Track and communicate progress against roadmap and client commitments, flagging risks early and coordinating resolution across product, engineering, and commercial teams

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  Partner with solutions engineering and data delivery to document client-specific implementation needs and ensure they are reflected in the product roadmap

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  Run ad hoc analyses and validate data against payer-facing requirements using available tooling

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  Identify and address operational inefficiencies in the product development and delivery process, improving repeatability as the health plans client base grows

You understand how health plans actually operate — their workflows, their data needs, and what a useful provider directory or network analytics tool looks like in practice. You've built or materially improved data products in a payer or health plan context and know how to make tradeoffs between coverage, freshness, and regulatory accuracy. You lead with curiosity and bring structured thinking to ambiguous problems.

• Familiar with health plan workflows: network management, provider credentialing, network adequacy, utilization review or prior authorization operations

• Experienced in B2B SaaS product management, with a track record on data-intensive or analytics platforms — not primarily UI and feature work

• Comfortable with data quality and coverage tradeoffs in a product context — and able to make those tradeoffs visible and defensible to engineering, data science, and client stakeholders

• Strong in user research: able to run qualitative discovery with health plan users and distill clear product signal from messy stakeholder input

• Effective cross-functional collaborator — works fluidly with data science, engineering, commercial, and customer success

• Data-driven and precise: uses metrics to validate assumptions and define what good looks like for a product area

• 3+ years of B2B product management, preferably on data, analytics, or intelligence platforms in healthcare or life sciences

• Familiarity with health plan operations — network management, provider data, utilization management, or prior authorization — through product, consulting, or industry experience

• Comfortable working with data science and engineering on data quality, coverage, and accuracy problems — and translating those decisions into user-facing product choices

• Proven ability to run user research, synthesize findings, and convert them into actionable product requirements

• Comfortable using data to validate product decisions; SQL or Python experience a plus

• Based in New York, NY (preferred), OR based in Boston, Philadelphia, or Washington D.C. (hybrid with willingness to travel to New York).