Technical Product Manager
Posted 10 Jul 2026
Advertised as “Technical Product Manager – AI Platform & Interoperability”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5–8 yrs
- Management level
- Individual contributor
No salary listed for this role.
Technical Product Manager – AI Platform & Interoperability
About GW RhythmX
Our Vision: Forever change medicine by turning intelligence into impact at every point of care.
GW RhythmX uses AI to help 150+ health systems deliver the right care, at the right time, through the right clinician — reducing burden while improving outcomes. Our solutions reach 85M+ patients, including 8M U.S. military veterans, and are recognized by KLAS Research, Fierce Healthcare, and AVIA Marketplace.
As a Symphony AI portfolio company, we combine startup agility with enterprise-scale infrastructure, including:
- Longitudinal data on 300M patients
- 4.4B annual claims
- A global network of 1.8M healthcare professionals
The Role
We are building a scalable, AI-first healthcare data platform that transforms raw clinical data into actionable intelligence.
As a Technical Product Manager, you will drive the development of core platform capabilities spanning:
- Healthcare data ingestion and interoperability
- Data normalization and canonical modeling
- Temporal data processing and workflow orchestration
- AI-ready data pipelines powering recommendations and patient insights
This is a highly technical, execution-focused role requiring deep collaboration with architects and engineering teams to design and deliver high-scale, reliable platform systems.
What You’ll Own
- Healthcare Data Ingestion & Interoperability
- Define and deliver scalable ingestion pipelines for HL7 v2, FHIR R4, and other clinical data formats
- Drive integration with interoperability platforms (e.g., Redox, Mirth)
- Ensure high data quality, schema validation, and fault-tolerant ingestion
- Data Normalization & Canonical Data Model
- Own the design and evolution of a canonical clinical data model across domains (encounters, medications, labs, notes, etc.)
- Define mapping frameworks for terminologies and coding systems (ICD, SNOMED, LOINC, RxNorm)
- Ensure consistent representation of structured and semi-structured clinical data
- Data Processing & Workflow Orchestration
- Define systems for event-driven and batch data processing pipelines