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 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.