Head of Technical Product Management
at Abacusinsights
United States, remote, executive, full time, 15+ years
posted 09 Oct 2026
- Azure
- ICD-10
- Generative AI
- FHIR
- Machine Learning
- SQL
- HITRUST
- HL7
- GCP
- Snowflake
- HIPAA
- Databricks
- AWS
- Python
About the role
We are seeking a Head of Technical Product Management to own the technical product strategy, roadmap, and delivery of our Data Cloud and AI platform, working hand in hand with our engineering teams. As the leader accountable for the technical product direction of the platform that health plans rely on to unify, govern, and activate their data, you will sit at the intersection of product strategy, cloud architecture, data engineering, and applied AI—and you will turn that intersection into durable competitive advantage. This role reports to the CTO and leads the technical product management function for the platform, working hand in hand with engineering to deliver.
You will build, lead, and scale a mature technical product management organization within Engineering, made up of Directors and Technical Product Managers (TPMs) responsible for scalable data lakes, real-time data pipelines, data products, and Generative AI/ML systems, all built to meet rigorous healthcare compliance standards (HIPAA, HITRUST). As a senior leader in the Engineering organization, you will partner with the CTO, CEO, and executive peers across Engineering, Client Success, Legal, Security, and Finance to shape technical direction and investment priorities, and ensure the platform delivers measurable outcomes for enterprise payer customers.
What you would do
- Define and evangelize the multi-year technical product strategy and roadmap for Abacus's cloud-native data platform and AI/ML infrastructure, and align it with company strategy and customer needs, in partnership with the CTO and executive team
- Own the end-to-end technical product portfolio spanning data ingestion (FHIR, HL7, claims, EHR), Lakehouse architecture (Databricks), and AI/ML tooling and infrastructure, working with Engineering leadership to make clear investment, sequencing, and build-versus-buy-versus-partner decisions
- Own platform outcomes, including adoption, reliability, performance, and unit economics (including cloud cost and FinOps), and partner with Finance and Sales leadership to connect technical investment to revenue and margin
- Establish and report on executive-level KPIs, including platform and application adoption, DORA metrics, data product SLAs, FinOps, and ROI, and use them to justify and steer ongoing investment
- Set the technical direction in partnership with Engineering leadership on cloud infrastructure (AWS/Azure/GCP), distributed systems, APIs, and the harnesses/infrastructure that power our AI systems, and make and communicate the critical architectural trade-offs
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