FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Head of Technical Product Management
Abacus Insights. Own the technical product strategy, roadmap, and delivery for the Data Cloud and AI platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical product strategy and management for cloud-native data platforms and AI/ML infrastructure, with a strong focus on platform adoption, performance metrics, and compliance standards. Proven ability to lead cross-functional teams and influence executive stakeholders while driving innovation and operational excellence.
Highest-signal resume keywords
Technical Product ManagementCloud Data PlatformsAI/ML InfrastructureHealthcare Data StandardsPeople Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technical Product StrategyCloud InfrastructureData Quality StandardsAI GovernanceDORA MetricsPythonSQLDatabricksSnowflakeAgentic Driven Development
Soft Skills
Stakeholder ManagementStorytellingNegotiationExecutive PresenceCoaching
Tools & Technologies
AWSAzureGCPFHIRHL7ICD-10Claims DataFinOpsEHR Data IngestionClinical Validation
Industry Keywords
HIPAAHITRUSTSaaSEnterprise SoftwareHealth Insurance
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformPythonSnowflakeSQL
About the role
Key responsibilities & impact- Own the technical product strategy, roadmap, and delivery for the Data Cloud and AI platform
- Build, lead, and scale the technical product management organization within Engineering
- Define the multi-year technical product strategy and roadmap for the cloud-native data platform and AI/ML infrastructure
- Own the technical product portfolio spanning FHIR, HL7, claims, EHR data ingestion, Databricks Lakehouse architecture, and AI/ML infrastructure
- Make investment, sequencing, and build-versus-buy-versus-partner decisions
- Own platform adoption, reliability, performance, unit economics, cloud costs, and FinOps outcomes
- Establish and report executive-level KPIs, including adoption, DORA metrics, data product SLAs, FinOps, and ROI
- Set technical direction for cloud infrastructure, distributed systems, APIs, and AI infrastructure across AWS, Azure, and GCP
- Establish standards for data quality, AI governance, HITRUST/HIPAA compliance, authentication/authorization, federation, and observability
- Champion Responsible AI, including AI gateways, evaluations, traces, drift detection, bias mitigation, FinOps, and clinical validation
- Drive an Agentic Driven Development operating model
- Lead complex cross-functional initiatives from conception to production and manage dependencies, risk, and technical debt
- Serve as the technical voice with enterprise health plan customers and strategic technology partners
- Partner with Sales, Marketing, and Client Success on go-to-market, pricing, packaging, briefings, and new products
- Lead, coach, and develop Directors and Technical Product Managers; own talent strategy, succession, organizational design, hiring standards, leveling, career ladders, and operating mechanisms
- Report to the CTO and collaborate with executive leaders across Engineering, Client Success, Legal, Security, and Finance
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field
- 15+ years of technical product management experience
- 6+ years leading platform, cloud, SaaS, or Data/AI infrastructure products at scale
- 8+ years of people leadership, including 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, such as DORA metrics
- Experience building or scaling a technical product management function within an Engineering organization
- Familiarity with mature TPM practices at leading cloud and data companies
- Demonstrated executive presence and experience influencing senior and executive leaders
- Strong working knowledge of modern cloud data stacks, including Databricks and Snowflake
- Experience delivering ML and/or Generative AI solutions
- 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
- Knowledge of HIPAA and HITRUST regulatory environments
- Ability to make and articulate architectural and investment trade-offs to engineers and executives
- Exceptional storytelling, negotiation, and stakeholder management skills
- Hands-on coding proficiency in Python and/or SQL is preferred but not required
- Direct experience commercializing enterprise software within major health insurance payers or providers is preferred but not required
- Experience with strategic partnerships, M&A diligence, or platform ecosystem development is preferred but not required
Benefits
Comp & perks- Unlimited paid time off
- Work from anywhere
- Comprehensive health coverage with multiple plan options
- Equity for every employee
- Growth-focused environment and development opportunities
- Home office setup allowance
- Monthly cell phone allowance
- Eligibility for performance bonuses
- Live video interview process with accommodation support