Lead Product Manager – AI Product Management

Role Overview

• Oversee the product roadmap for a defined set of AI capabilities within the broader CenterWell AI portfolio
• Evaluate AI use cases in consideration of our priorities, clinical outcomes, and operational needs
• Translate complex business problems into articulated product requirements, value hypotheses, and success metrics
• Conduct market and technology research to stay current on AI trends in healthcare and evaluate new tools, platforms, and vendors
• Collaborate across AI, automation, and generative AI efforts to shape cohesive end-to-end solutions
• Lead cross-segment AI pilots from concept through validation, deployment, and adoption
• Define testing and validation approaches that assess both technical performance and real-world utility
• Maintain a business-aligned AI backlog, prioritizing work based on impact, feasibility, risk, and organizational capacity
• Partner with data science and IT teams to ensure AI solutions are production-ready and scalable
• Guide end-to-end ownership of assigned AI products through launch and sustained performance monitoring
• Foster relationships with clinical, operational, and functional partners through transparency, collaboration, and demonstrated outcomes
• Communicate AI capabilities, risks, and appropriate use cases to partners and end-users
• Engage with governance, compliance, and validation processes, including considerations related to bias, accuracy, and regulatory constraints in healthcare
• Define clear success metrics and value measures for AI products, including clinical, experience, and financial outcomes
• Establish tracking and reporting mechanisms to demonstrate progress and return on investment to senior partners
• Use data and feedback to inform iteration, decommissioning, or scaling decisions

Requirements

• 5+ years of experience in product management, AI and ML product development, or related technical roles
• Bachelor's degree
• Well-developed technical foundation in AI and ML concepts, including model types, training approaches, evaluation metrics, and deployment considerations
• Demonstrated experience delivering AI-powered products from concept through production
• Experience navigating AI governance, model validation, and regulatory or compliance requirements
• Product judgement, combining analytical rigor, and user-centered thinking

Benefits

• medical, dental and vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance