We're looking for a product manager who embeds directly with engineering, product, and business teams to build and ship AI products that directly serve our NBCUniversal businesses. You'll work side-by-side with Enterprise Business Solutions Product and Program teams to identify high-value problems, rapidly prototype and deploy production agentic solutions to drive business impact. As a Senior Product Manager in the Enterprise Business Solutions AI Product team, you will own the full lifecycle of agent products — from discovery through deployment and ongoing iteration. You'll build intelligent workflows that automate program operations, surface insights from complex data, and enable teams across NBCUniversal to work with agentic solutions. Your work will have a direct, measurable business impact on our employees’ experience and effectiveness in their work outputs. This role is a blend of technical, design, education, and product thinking. You will understand business needs deeply, identify where AI creates leverage, write code, and ship solutions that will drive real business impact. Key Responsibilities Work directly with Enterprise Business Solutions program and product teams to identify highest-value use cases for agentic solutions, deployment, tool adoption, and infrastructure architecture Partner with client-facing teams to understand customer use cases, ensuring conversational agents meet the needs of both end users and stakeholders. Assist in the building of end-to-end agentic products and solutions (including multi-agent orchestration, tool use, and structured reasoning), from concept and design through implementation, ensuring scalability, adaptability, and alignment with business objectives. Co-develop agentic solutions with business teams — enabling them to customize, maintain, and operate agents after initial deployment. Translate ambiguous business problems into well-scoped agentic product and solution requirements with clear success metrics. Leverage data insights to continuously optimize AI products and business outcomes — measuring adoption, output quality, user journeys, time-to-insight, and other KPIs. Own agent quality by implementing evaluation frameworks, monitoring production accuracy, and driving prompt iteration cycles based on eval results. Create and present documentation to business partners, execute product demos and walk-throughs, and deliver AI-driven analytics capabilities that enable real-time, data-informed decision-making across the enterprise.