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
- Solid 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.

📌 Technical Product Manager – AI Platform & Interoperability (India)
🏢 RhythmX AI
📍 India