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Abacus Insights

Cloud-based payer data integration platform

Head of Technical Product Management

Technical Product ManagementUpdated on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
  • At least 15 years of technical product management experience, including at least 6 years leading platform, cloud, SaaS, or Data/AI infrastructure products at scale.
  • At least 8 years of people leadership, including experience leading managers and building high-performing technical product management organizations.
  • Experience working closely with product engineering teams that ship platform software, focusing on delivery quality and velocity, such as DORA metrics.
  • Experience building or scaling a technical product management function inside an Engineering organization, including hiring, leveling, operating model, and career framework, with familiarity with mature TPM practices at leading cloud and data companies.
  • Demonstrated executive presence and a track record of influencing senior and executive leaders and owning a technical product portfolio's strategy and outcomes.
  • Strong working knowledge of modern cloud data stacks, including Databricks and Snowflake, and data engineering best practices.
  • Experience delivering ML and/or Generative AI solutions, with familiarity with Agentic Driven Development practices and AI evaluation and governance frameworks.
  • Working knowledge of healthcare data standards and taxonomies, including FHIR, HL7, ICD-10, and claims data, and regulatory environments including HIPAA and HITRUST.
  • Ability to make sound architectural and investment trade-offs and articulate them to engineers and executives.
  • Storytelling, negotiation, and stakeholder management skills to align diverse stakeholders around a shared strategy.
  • Current authorization to work in the United States without employer sponsorship.

Responsibilities

  • Define and communicate the multi-year technical product strategy and roadmap for the cloud-native data platform and AI/ML infrastructure, aligning it with company strategy and customer needs in partnership with the CTO and executive team.
  • Own the technical product portfolio spanning data ingestion (FHIR, HL7, claims, and EHR), Lakehouse architecture (Databricks), and AI/ML tooling and infrastructure; work with Engineering leadership on investment, sequencing, and build-versus-buy-versus-partner decisions.
  • Own platform outcomes, including adoption, reliability, performance, and unit economics such as cloud cost and FinOps; partner with Finance and Sales leadership to connect technical investment to revenue and margin.
  • Establish and report executive-level KPIs, including platform and application adoption, DORA metrics, data product SLAs, FinOps, and ROI, and use them to justify and steer investment.
  • Set technical direction with Engineering leadership on cloud infrastructure (AWS, Azure, and GCP), distributed systems, APIs, and the harnesses and infrastructure powering AI systems, and communicate critical architectural trade-offs.
  • Establish enterprise standards for data quality, AI governance, HITRUST/HIPAA compliance, authentication and authorization, federation, and observability across large healthcare datasets.
  • Champion Responsible AI across the company, including AI gateways, evaluations, traces and observability, drift detection, bias mitigation, FinOps, and clinical validation, in partnership with AI, Legal, Security, and clinical/payer subject matter experts.
  • Drive an Agentic Driven Development operating model in which product intent, prioritization, and evaluation criteria enable engineering teams and AI development harnesses to execute with speed and quality.
  • Lead complex cross-functional initiatives from conception to production, aligning Engineering, Data and AI Engineering, SWAT/SRE, Legal, Security, and Client Success; build consensus with executives and clients and proactively manage dependencies, risk, and technical debt in partnership with Engineering leadership.
  • Represent the technical function with enterprise health plan customers and strategic technology partners, including Databricks and major cloud providers, translating complex data and AI architectures into clear narratives.
  • Partner with Sales, Marketing, and Client Success leadership on technical input to go-to-market, pricing and packaging, analyst and customer briefings, and delivery of new data products and AI capabilities.
  • Lead, coach, and develop an organization of Directors and TPMs; own talent strategy, succession, and organizational design, including the TPM hiring bar, leveling and career ladders, planning and review mechanisms, and the operating rhythm of a mature TPM organization.

Desired Qualifications

  • 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.

About the Company

Abacus Insights

Cloud-based payer data integration platform

Abacus Insights provides a cloud-based data transformation platform for health plans to ingest data from claims, clinical records, and eligibility sources and unify it into a single patient view. The platform decouples data from analytics tools by delivering secure, HIPAA-compliant data feeds that support value-based care, risk adjustment, population health, and member engagement. It differentiates itself with payer-specific data workflows and leadership with deep payer and clinical expertise, turning messy data into clean, usable assets. Its goal is to help health plans improve clinical outcomes, reduce costs, and enhance the member experience through high-quality data for decision making.

Company size
201-500
Company stage
Series D
Total funding
$132.5M
Headquarters
Boston, MA
Founded
2017

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