About the 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 • 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 work across ingestion, processing, and platform services • Drive execution with engineering teams from 0 → 1 → scale • Track success via platform reliability, performance, and downstream impact
Examples of Problem Spaces You’ll Tackle • Designing a unified clinical data model across fragmented healthcare data sources • Building high-throughput ingestion systems for real-time and batch clinical data • Creating temporal patient timelines from multi-source healthcare events • Enabling AI-driven insights through clean, normalized, and structured datasets • Solving data consistency, mapping, and interoperability challenges at scale
Required Experience
Technical Product Management (Must-Have) • 5–8+ years of product management experience in a technical domain • Strong experience building platforms, APIs, or data infrastructure products • Ability to work deeply with engineers on architecture, system design, and trade-offs • Proven track record of delivering scalable systems from concept to production
Healthcare & Interoperability (Strongly Preferred) • Experience with HL7 v2, FHIR R4, and healthcare data exchange standards • Familiarity with interoperability engines (e.g., Redox, Mirth, Rhapsody) • Understanding of clinical data domains and workflows
Data & Platform Expertise • Strong understanding of: • Data modeling and schema design • ETL / ELT pipelines • Batch and streaming architectures • Experience working with PostgreSQL or similar relational databases
Preferred Technical Stack Experience • Workflow orchestration frameworks (e.g., Temporal) • Graph databases (e.g., Neo4j, Amazon Neptune) • Cloud platforms (Azure preferred, AWS acceptable) • Distributed systems and event-driven architectures
AI / ML (Preferred) • Exposure to AI/ML or LLM-based systems • Understanding of: • Structured + unstructured data pipelines • Retrieval-augmented generation (RAG) • Clinical summarization or recommendation systems
Builder Mindset (Non-Negotiable) • AI-first, AI-fast approach to product development • Strong ownership and bias for execution • Comfortable operating in ambiguity and solving complex problems • Deep curiosity and willingness to engage at technical depth • Outcome-driven mindset — focused on impact, not output
What Success Looks Like • A scalable platform that reliably ingests and processes healthcare data at scale • Well-defined canonical data model enabling consistent downstream usage • Efficient data pipelines powering AI-driven insights and applications • Strong collaboration between product, engineering, and data teams • Faster delivery of new platform capabilities and AI use cases
This Role Is Not For You If • You prefer high-level strategy without technical depth • You are not comfortable working closely with engineering teams • You need rigid processes and detailed instructions • You are not excited about building AI-driven platforms
Why Join Us
You’ll be building the core infrastructure that powers AI in healthcare, enabling: • Scalable data platforms • Real-time clinical intelligence • Next-generation AI applications
This is a high-impact role at the intersection of healthcare, data, and AI.
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