BENGALURU · FULLTIME
Technical Product Manager - AI Platform & Interoperability
Saiharmony Solutions India
Bengaluru · onsite · Posted 40d ago
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Undisclosed8–12 yrsfulltimeBengaluru
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Section · 01
About this role
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:
- o Data modeling and schema design
- o ETL / ELT pipelines
- o 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
- Exposure to AI/ML or LLM-based systems
Understanding of:
- o Structured + unstructured data pipelines
- o Retrieval-augmented generation (RAG)
- o 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
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Section · 02
Skills
AimlPostgresqlclinical dataworkflow orchestrationcloud platformsamazon web servicesFHIRHL7eltNeo4Jproduct managergraph databasesinteroperabilityLarge Language Models (LLMs)HealthcareArchitectureProduct ManagementProduct DevelopmentETLAi PlatformMicrosoft AzureData ModelingData PipelineArtificial Intelligence