• Own and drive the end-to-end product vision, strategy, and execution for generative AI features and platforms across multiple content surfaces • Guide the prompt engineering lifecycle, from ideation and authoring to evaluation and iteration, with rigorous feedback loops and metrics • Lead cross-functional collaboration with backend and frontend engineering, design, data science, and ML operations (MLOps) to deliver high‑quality, scalable AI experiences • Define and manage quarterly roadmaps tailored to both internal platform enhancements and customer-facing capabilities, prioritizing based on business impact, user signal, and operational feasibility • Drive and evangelize best practices for LLM prompt ops, model governance, and responsible AI, balancing innovation with ethical constraints • Act as a domain expert in AI-powered content, guiding stakeholders through the evolving generative AI landscape (e.g., memory‑enabled agents, token management, multimodal signals) • Model and champion best practices in product management: actively share expertise, promote a culture of experimentation, and help embed rapid prototyping as a core approach to developing AI solutions