Senior Technical Product Owner

November 7

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Gradient AI

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Artificial Intelligence • Insurance • SaaS

Gradient AI is a leading provider of artificial intelligence solutions tailored for the insurance industry. Specializing in underwriting and claims management, the company enhances the precision of risk assessment, expedites quote turnaround times, and reduces claim expenses through intelligent automation. Gradient AI serves various sectors within insurance, including group health, property and casualty (P&C), and workers' compensation. Its solutions leverage extensive datasets and AI technology to provide insurers with deeper insights, facilitating more informed decision-making and increasing profitability. The company's innovative approach is aimed at driving efficiency and cost savings across underwriting and claims processes.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 $20M Series B on 2021-04

📋 Description

• We’re seeking a highly organized Senior Technical Product Owner (TPO) to help deliver complex, data-driven products. • Partnering with the Group Product Manager, the TPO will turn strategic vision into execution across platforms and initiatives. • This role leads planning, execution, and delivery for our health analytics products and supporting platform—spanning data pipelines, core infrastructure, predictive models, and user dashboards. • They will manage cross-functional efforts to integrate health data, enhance the analytics platform, and deliver new capabilities in underwriting, cost forecasting, and population health.

🎯 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. • Bonus Qualifications: 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

• 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.