Technical Product Manager, Clinical Platform

Urrly•Charlotte, NC

1d•$150,000 - $180,000•Remote

About The Position

Build the clinical products that power a health tech company’s next stage of growth. Join a company that has raised over $100 million in funding, report directly to the Chief Product Officer, and own products that help care teams deliver better care to hundreds of thousands of members. Turn complex clinical workflows, data, and integrations into products people use every day. You’ll own work from discovery through launch and adoption, partnering directly with clinicians, operations, client service, and engineering.

Requirements

Healthcare industry experience is required, with working knowledge of HIPAA constraints.
4+ years in product management, technical product management, or closely related work, with ownership of shipped products.
Product management experience with an EMR, HIE, or another major clinical platform.
Fluent SQL, including joins, aggregation, and window functions.
Direct authorship of integration specifications using FHIR, HL7 v2, or C-CDA.
Production AI/LLM feature experience, including evaluation of output quality.
Familiarity with ICD-10, CPT, and LOINC, plus effective collaboration with clinical, engineering, and client teams.

Nice To Haves

Value-based care, health risk assessments, annual wellness visits, or experience at a comparable preventive-care or clinical-services company.

Responsibilities

Shape the roadmap across scheduling and outreach, clinical documentation, coding and quality review, the PostgreSQL warehouse, and client reporting.
Translate workflow and reporting needs into specifications, acceptance criteria, UAT, and measurable outcomes.
Write and optimize SQL to investigate encounters, coding, claims, data quality, and reconciliation.
Define EMR, lab, HIE, and client-feed integrations: mappings, validation, error handling, testing, and go-live readiness.
Work with schedulers, clinicians, coders, and client teams to eliminate rework and data gaps.
Ship AI/LLM features for documentation, coding review, outreach, or quality assurance, with output evaluation, quality thresholds, and human review.