Gradient AI

AI underwriting + claims solutions that power a better return on risk for Group Health, Work Comp and other P&C insurers

Senior Technical Product Owner

Technical Product ManagerTechnical Product ManagerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

60 days ago

Salary

$130K - $175K / year

Bachelor Degree5 yrs expEnglishAWSCloud

Job Description

• Translate product strategy and roadmap themes into detailed epics, user stories, and delivery plans. • Manage sprint ceremonies, backlog refinement, and cross-team coordination. • Identify and mitigate technical risks and delivery blockers. • Track progress across engineering and data teams, ensuring alignment with strategic goals. • Support product launches, feature rollouts, and customer migrations—managing timelines, QA, and stakeholder communications. • Collaborate with the Group PM and stakeholders to define clear, actionable technical requirements. • Own documentation for technical product specs, infrastructure updates, data integrations, and model deployment workflows. • Ensure requirements reflect scalability, reliability, and usability needs. • Partner with data engineering, data science, software, and clinical informatics teams to ensure reliable ingestion, transformation, and integration of data between systems. • Define and enforce data quality, governance, and release management processes across the health platform. • Collaborate on any API and system integrations with external partners. • Establish and track KPIs for delivery velocity, platform reliability, and data quality. • Help drive continuous improvement in engineering execution and delivery predictability. • Maintain clear documentation and communicate progress through reporting, briefings, and retrospectives.

Job Requirements

  • 5+ years of experience in technical product ownership, program management, or engineering project management, preferably within healthcare data/analytics platforms.
  • Strong technical background; ability to work closely with engineers on architecture, data pipelines, and APIs.
  • Strong understanding of agile methodologies and product development lifecycle.
  • Experience working with data platforms and ML/analytics products.
  • Proven success leading and managing cross-team dependencies across product, engineering, and data science.
  • Familiarity with tools like Jira, Confluence, GitHub, and data documentation platforms.
  • Experience with cloud data environments (AWS, Snowflake, Databricks, or similar) and modern CI/CD or data ops practices.

Benefits

  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we’re building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

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