Staff Product Manager, Longitudinal Patient Record

Counterpart Health; United States; Remote; USD 189,000 - 245,000; Full time

Benefits offered by this job

Employee Stock Purchase Plan (ESPP)

Reimbursement for office setupexpenses

Monthly cell phone & internet stipend

Remote-first culture

Paid parental leave

Job summary

Counterpart Health is hiring a Staff Product Manager to own the longitudinal patient record, unifying data from diverse sources to present a single, trusted view of each patient. You will guide the strategy across engineering, clinical teams, and data consumers to close care gaps and enhance outcomes.

You will lead data modeling, terminology mapping, and adoption efforts, ensuring a complete, accurate record used across quality measurement, RADV audits, and value-based care programs.

Qualifications

• 8+ years of product management experience owning a data platform or shared data product.
• Defined product strategy for a platform with multiple internal consumers.
• Deep healthcare data knowledge: claims, C-CDA, FHIR, ADT, labs.
• Experience aligning cross-functional teams across engineering, clinical, and operations.
• Experience using AI to scale data work.

Responsibilities

• Own the longitudinal patient record strategy and roadmap.
• Define representation of care events, dates, settings and connections to patient history.
• Lead the Longitudinal Patient Record pod and partner with engineering and clinical teams.
• Ensure completeness and consistency across data sources.
• Drive adoption and track impact on quality, risk, and programs.

Skills

PM experience (8+ years)

Data platform ownership

Cross-functional leadership

Healthcare data knowledge

FHIR/C-CDA/ADTs

Tools

FHIR resources

C-CDA

ADT feeds

Job description

Counterpart Health is hiring a Staff Product Manager to own the longitudinal patient record, unifying data from diverse sources to present a single, trusted view of each patient. You will guide the strategy across engineering, clinical teams, and data consumers to close care gaps and enhance outcomes.

You will lead data modeling, terminology mapping, and adoption efforts, ensuring a complete, accurate record used across quality measurement, RADV audits, and value-based care programs.