Technical Product Manager – AI Platform & Interoperability

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 Drive temporal alignment of clinical events to support longitudinal patient views Partner with engineering to implement scalable workflows using orchestration frameworks (e.g., Temporal) Platform APIs & Data Services Define APIs for: Data ingestion and transformation Access to normalized patient data Downstream consumption for analytics and AI use cases Ensure high performance, scalability, and reliability of platform services AI-Ready Data Foundation Enable data pipelines that support: Clinical decision support Patient summaries Recommendation systems Collaborate with AI/ML teams to ensure data is structured, contextualized, and usable for model development Execution, Roadmap & Delivery Translate platform vision into clear product backlog (epics, user stories, acceptance criteria) Prioritize and sequence…