• Own the delivery and evolution of the AI apparatus, including systems, capabilities, and tooling that support scalable AI solution development. • Determine the appropriate role -- player or coach -- for each AI capability based on strategic importance, technical complexity, and product ownership. • As a player: Lead discovery efforts and define requirements for AI apparatus features. • Write user stories and collaborate with engineering to ensure solutions are viable, scalable, and aligned with market needs. • Monitor product adoption, feature performance, AI prompt quality, and ongoing costs, adjusting and improving over time. • As a coach: Empower Product Managers to build AI-driven features using pre-built AI apparatuses. • Provide training, best practices, processes, and hands-on partnership to support successful AI solution development. • Establish and maintain frameworks for responsible AI development, ensuring ethical use, compliance, and transparency. • Lead internal education efforts on AI concepts, tools, and methodologies to elevate AI capability across the product organization. • Define best practices for AI cost management, including understanding cost drivers, managing the AI product catalog, and helping Product Managers assess and forecast the costs of their AI solutions. • Continuously monitor AI industry trends, emerging technologies, and competitive movements to inform strategy and drive innovation. • Define scalable approaches for model lifecycle management, data governance, monitoring, and operationalization of AI features. • Support incremental, iterative delivery of AI advancements while positioning the organization for long-term innovation. • Potentially expand responsibilities over time to include building and leading a team of AI Product Analysts.