Remote Staff Product Manager, Longitudinal Patient Record

Jobgether

Oregon

Hybrid

USD 189,000 - 245,000

Full time

5 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Competitive base salary

Equity opportunities

401(k) with employer matching

Regular compensation reviews

Medical, dental, vision coverage

Flexible paid time off

No-Meeting Fridays

Mental health resources

Remote-first environment

Paid parental leave

Employee Stock Purchase Plan (ESPP)

Home office stipend

Professional development funding

Inclusive and collaborative workplace

Job summary

Jobgether, on behalf of a partner company, seeks a Staff Product Manager for a Longitudinal Patient Record in the United States. You will lead strategy and development of a unified patient record that integrates data from multiple sources to create a trusted view of each patient’s medical history, enabling better clinical decisions and outcomes.

In this remote-first role, you will lead a product team, collaborate with engineers, clinicians, and stakeholders, define data standards, model

Qualifications

8+ years in product management, with data platform ownership.
Experience defining strategy for platforms with multiple internal stakeholders.
Strong knowledge of healthcare data and clinical applications.
Experience defining canonical data models across teams.
Hands-on analytical skills to validate product definitions against real-world data.

Responsibilities

Define and lead the product vision, strategy, and roadmap for the longitudinal patient record.
Establish unified representations of patient care by mapping encounters, providers, facilities, medications, and more.
Develop data standards and rules to reconcile information from multiple sources.
Lead creation of a unified record of acute care events across hospitalizations and ED visits.
Ensure the patient record supports provider workflows, quality measurement, risk adjustment, and revenue operations.
Oversee data capabilities like patient matching, deduplication, normalization, and terminology mapping.
Define canonical data models and drive adoption across products and teams.
Explore AI to improve data processing and document classification while ensuring reliability.
Translate complex requirements into actionable product specifications and delivery plans.
Monitor product performance with measurable indicators and drive improvements in data quality and adoption.
Lead cross-functional initiatives with influence across teams without direct reporting authority.