Lead Product Manager, AI Platform

Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers through technology and AI-enabled solutions. The Lead Product Manager, AI Platform will own the internal AI platform roadmap end to end, set product direction, collaborate with engineering and design, and drive platform adoption, health, stability, and scale across the organization.

Responsibilities:

• The roadmap - You'll set the long-term vision and own the day-to-day roadmap that delivers it, informed by close discovery with the employees and teams who use the platform
• Platform as product - You'll treat the people who use the platform as your customers, and take the friction out of incorporating AI into their daily workflows
• Delivery - You'll own the loop from intake to launch, making the hard calls between speed, scale, cost and reliability, with engineering and design
• Adoption and health - You'll define what platform health and adoption mean, then move them: stability, scale and how much employees rely on it
• Alignment - You'll keep leadership, engineering and the business pointed the same way, and tell the story behind every priority
• Set a platform roadmap the organization backs
• Ship the first enhancements the platform to allow users to migrate without disrupting their existing AI functionality
• Stand up a working prioritization and delivery rhythm with engineering and design
• Define adoption and health metrics, and show them moving

Requirements:

• You've owned and scaled a platform used across an organization, roughly 8 years into your product career. We care more about the scope of what you've owned than the exact number
• A proven scaling operator. You've taken a platform from early to mature, and can point to what you shipped and what it drove
• Systems thinking and technical fluency. You hold your own with engineering on architecture and APIs, and reason through trade-offs on your own
• Data fluency. You use product usage data to prioritize, measure and make the case for what's next
• Sharp prioritization and strong writing. You make the hard calls, tell the story and bring people with you
• Senior stakeholder management. Engineering leaders and business partners trust you, and you get things done without direct authority
• Experience with AI and machine learning (ML) platforms, large language model (LLM) products or AI enablement tools
• Enterprise software in a regulated field like healthcare or fintech, where you've turned compliance and governance needs into product requirements
• A background in developer experience or internal-platform products