Gradient AI · 15 hours ago
Senior Technical Product Owner
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions. The Senior Technical Product Owner will lead the planning, execution, and delivery of health analytics products, managing cross-functional efforts to enhance the analytics platform and integrate health data.
Artificial Intelligence (AI)InsuranceInsurTechMachine Learning
Responsibilities
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
In collaboration with the Group PM, 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
Qualification
Required
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
Preferred
Knowledge of data orchestration tools like (Airflow, Dagster, Prefect, etc.) a plus
Experience with SQL and Python a plus
Exposure to ML/AI productization, risk scoring models, or predictive analytics platforms
Experience in health analytics, underwriting, or population health products a plus
Prior work in regulated health data environments (HIPAA, de-identification, SOC 2) a plus
Benefits
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.
Company
Gradient AI
Gradient AI provides AI solutions for the insurance industry, leveraging vast industry data for accurate predictions.
H1B Sponsorship
Gradient AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2023 (2)
2022 (2)
Funding
Current Stage
Growth StageTotal Funding
$123.18MKey Investors
Centana Growth PartnersAmerican Family VenturesForté Ventures
2024-07-30Series C· $56.1M
2024-07-08Series Unknown· $36.13M
2021-04-14Series B· $20M
Recent News
Beinsure - Insurance, Reinsurance, InsurTech Insights
2025-10-17
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Morningstar.com
2025-10-09
Company data provided by crunchbase