Staff Product Manager, Longitudinal Patient Record

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we deliver improved outcomes at lower cost through early diagnosis and longitudinal care management of chronic conditions. We're hiring a Staff Product Manager to own the longitudinal patient record, one trusted view of the care each patient receives across every setting, from the primary care office to the specialist to a hospital stay. Every Counterpart product builds on this record. Our clinical data comes from hundreds of sources, including health information exchanges, EHRs, labs, ADT feeds, pharmacy fills, prior authorizations, and claims from our health plan customers. Each one captures part of a patient's care. The longitudinal record connects them into one history of the patient's visits, conditions, medications, and results. You will ensure completeness and consistency in how those sources come together, so providers walk into each visit with the full picture, care gaps get closed, and quality and risk adjustment programs capture the care patients actually received. Our AI reasons over the same record, so improvements to the record expand what our AI can reliably do. That work takes clear clinical definitions, sound data modeling, and AI applied where it adds scale, such as classifying documents and connecting records across sources. The result is that every AI tool we build works from the same view of each patient. You will report to the Director of Product, Clinical Data Products, and lead the Longitudinal Patient Record pod. You will partner closely with engineering, our clinical team, and data consumers across the company. What you will own and improve

Product strategy. Set the vision and roadmap for the longitudinal record. Find the highest-value problems across the products and programs that depend on it, and make the trade-offs among completeness, accuracy, timeliness, and investment. A trusted record. Define how care events and their dates, settings, providers, and facilities are represented consistently, and how medications, conditions, labs, and procedures connect to those events and to the patient's history over time. Set clinically grounded rules for combining sources that each describe part of the same care, so every fact can be traced to the evidence behind it. A unified record of acute events. One record of each hospitalization, ED and post-discharge care management built from multiple sources such as: ADT notifications, prior authorization and admission notices, facility claims, medical records (especially discharge documentation), and where the patient went at discharge. Anyone working with the patient sees the whole stay, from admission through discharge to the next setting of care. Data for every use case. The record serves providers at the point of care and the programs that depend on complete care history: quality measurement (HEDIS), risk adjustment and RADV audits, payment integrity, and revenue operations. Providers, quality analysts, and operational teams all work from the same care history. How every source becomes part of the record. You own patient matching, deduplication, normalization, and clinical terminology mapping, which turn raw data from each source into a trusted part of the patient's record. Every new source runs through them, so improvements are built once and reused across products. Adoption. A canonical field counts only when clinicians use it. You own the path from definition to adoption: requirements, a migration plan per use case, and retiring fragmented, duplicate versions of the same data.

What success looks like

The record gets more complete, accurate, and timely, and you can show it with numbers. Products and programs adopt the shared record and retire their own versions of it. New customers and markets reach a usable patient record with less time and less one-off work. You can show what those gains changed downstream: more complete evidence for quality and risk adjustment, earlier visibility into admissions and care transitions, and fewer inconsistencies across products. You run a clear decision process with clinical and engineering partners, and definitions are documented, adopted, and applied consistently.

You should get in touch if

You have 8+ years of product management experience, including owning a data platform, data model, or shared data product used by multiple teams. You have set product strategy for a platform with many internal consumers and made the trade-offs that came with it. You have deep working knowledge of healthcare data and the clinical utility: institutional and professional claims, clinical documents such as C-CDA, FHIR resources, ADT feeds, and lab data. You know what part of a patient's care each covers and where the gaps are. You have defined canonical or master data (patient, provider, facility, encounter, clinical concepts) and gotten other teams to adopt it. You work in the data yourself: reviewing charts, investigating discrepancies, running analyses, and testing a definition against real records before it ships. You use AI to accelerate that work and know how to validate its output. You have led cross-functional projects through influence, setting direction and driving delivery across engineering, clinical, and operations teams you don't directly manage. You can point to a time a data improvement you owned contributed to a business result, such as a clinical outcome otherwise missed, avoided patient abrasion through duplication of care, physician time savings not chasing portals, or similar impact.

Benefits Overview :

Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributi