Lead Clinical Platform Product Manager (EHR & AI Tools)

Headlight.Health

Salt Lake City (UT)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Medical, Dental & Vision
401(k) with company contribution
Paid vacation and holidays
Employee Assistance Program (EAP)
Professional development
Collaborative culture

Job summary

Headlight.Health is seeking a senior clinical product manager to own the full clinical product surface—including our EHR, platform integrations, and custom tooling. You will consolidate fragmented roadmaps and build a product-led practice that connects clinicians to the tools they need to deliver the best outcomes.

You will design world-class workflows across the clinician journey, evaluate AI and external tools, and define governance between clinical teams and engineering while measuring impact

Qualifications

  • 7+ years of product management experience, with meaningful time in healthcare or clinical tools.
  • Preferred hands-on EHR experience—knowledge of how they work, where they are configurable, and where a build-around is needed. (NextGen, Epic, AdvancedMD, or Athena).
  • Familiarity with healthcare systems integration (HL7, FHIR, API-based) and the judgment to know what belongs natively in an EHR vs an external layer.
  • A track record of building product practice from scratch—creating structure, earning trust, and delivering measurable improvement.
  • AI literacy applied practically: evaluate tools, assess clinical risk and integration complexity, and make informed decisions.
  • The ability to quantify benefits concretely to measure outcomes: saved time, recovered hours, improved throughput.
  • Direct clinical or clinical operations background preferred. Experience in behavioral health is a plus.

Responsibilities

  • Design a vision for a world-class clinical experience—ecosystems across the full clinician journey, not isolated features, and asking what we would build if we were not constrained by what already exists.
  • Own the clinical systems roadmap: work closely with our clinical, operations, and care teams to define priorities and success metrics.
  • Establish product governance—act as the buffer between clinical stakeholders and engineering, ensuring priorities are set by measured impact.
  • Evaluate AI and third‑party tools with rigor: define evaluation criteria, assess build vs. configure vs. buy for every initiative, and apply solutions where they truly give clinicians time back—not as a default.
  • Measure the benefit in terms that matter, where every initiative has a baseline before and after: time saved per session, reduction in non‑billable administrative hours, billed hours unlocked, and clinical outcomes improved.
  • Work across the full spectrum of clinical delivery—from optimizing workflows inside NextGen (templates, task routing, clinical documentation) to designing integrations that extend the EHR into our broader ecosystem, to scoping and building net‑new clinical tooling where no off‑the‑shelf solution exists.
  • Own the integration layer between our clinical tools—Blueprint, NextGen, and any custom‑built surfaces—ensuring they work together as a coherent system rather than a set of disconnected point solutions that clinicians must manually bridge.
  • Build clinical safety into the practice from the start—understand where our tooling intersects with client safety and ensure speed of delivery never comes at the cost of clinical integrity.

Skills

PM in healthcare
EHR experience
Systems integration
Experience building product practice
AI literacy
Quantify benefits
Clinical operations background

Tools

NextGen
Epic
AdvancedMD
Athena

Job description

Headlight.Health is seeking a senior clinical product manager to own the full clinical product surface—including our EHR, platform integrations, and custom tooling. You will consolidate fragmented roadmaps and build a product-led practice that connects clinicians to the tools they need to deliver the best outcomes.

You will design world-class workflows across the clinician journey, evaluate AI and external tools, and define governance between clinical teams and engineering while measuring impact

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