SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Abacus Insights is a healthcare data and AI platform backed by $100M in funding, transforming how health plans unify, govern, and activate their data. The company's mission is to make healthcare data usable so payers can act faster with confidence on care and cost decisions.
You will serve as Head of Technical Product Management, reporting to the CTO and owning the technical product strategy, roadmap, and delivery of Abacus's cloud-native Data Cloud and AI platform. This is a senior leadership role at the intersection of product strategy, cloud architecture, data engineering, and applied AI.
Key responsibilities include:
- Define and evangelize the multi-year technical product strategy and roadmap for the cloud-native data platform and AI/ML infrastructure, aligned with company strategy and customer needs
- Own the end-to-end technical product portfolio spanning data ingestion (FHIR, HL7, claims, EHR), Lakehouse architecture (Databricks), and AI/ML tooling, making clear investment and build-versus-buy decisions
- Own platform outcomes including adoption, reliability, performance, and unit economics (cloud cost, FinOps)
- Establish and report on executive-level KPIs including platform adoption, DORA metrics, data product SLAs, FinOps, and ROI
- Set technical direction on cloud infrastructure (AWS/Azure/GCP), distributed systems, APIs, and AI system infrastructure
- Establish enterprise standards for data quality, AI governance, HIPAA/HITRUST compliance, authentication/authorization, and observability
- Champion Responsible AI practices including AI Gateways, evaluations, drift detection, bias mitigation, and clinical validation
- Drive Agentic Driven Development operating model for engineering execution
- Lead complex cross-functional initiatives from conception to production, aligning Engineering, Data/AI Engineering, SRE, Legal, Security, and Client Success
- Serve as technical voice with enterprise health plan customers and strategic technology partners (Databricks, major cloud providers)
- Partner with Sales, Marketing, and Client Success on go-to-market, pricing, analyst briefings, and new product delivery
- Build, lead, and scale a mature technical product management organization within Engineering, including Directors and Technical Product Managers
- Lead, coach, and develop a growing TPM organization; own talent strategy, succession, organizational design, hiring bar, leveling, career ladders, and operating rhythm
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field
- 15+ years of technical product management experience, including 6+ years leading platform, cloud, SaaS, or Data/AI infrastructure products at scale
- 8+ years of people leadership, including experience leading managers and building high-performing technical product management organizations
- Experience working with product engineering teams shipping platform software, with focus on delivery quality and velocity (DORA metrics)
- Experience building or scaling a technical product management function inside an Engineering organization, including hiring, leveling, operating model, and career framework
- Demonstrated executive presence with track record of influencing senior/executive leaders and owning technical product portfolio strategy and outcomes
- Strong working knowledge of modern cloud data stacks (Databricks, Snowflake) and data engineering best practices
- Experience delivering ML and/or Generative AI solutions, with familiarity with Agentic Driven Development practices and AI evaluation/governance frameworks
- Working knowledge of healthcare data standards and taxonomies (FHIR, HL7, ICD-10, claims data) and regulatory environments (HIPAA, HITRUST)
- Proven ability to make sound architectural and investment trade-offs and articulate them to engineers and executives
- Exceptional storytelling, negotiation, and stakeholder management skills
Nice-to-have:
- Hands-on coding proficiency in Python and/or SQL
- Direct experience commercializing enterprise software within major health insurance payers or providers
- Experience with strategic partnerships, M&A diligence, or platform ecosystem development