Senior Product Manager, AI platform (Michelangelo)

Senior Product Manager, AI platform (Michelangelo) Department: Product Team: Product Management Location: San Francisco, United States Type: Full-Time **About the Role** Over the past decade, AI - including both classical ML and, more recently, Generative/Agentic AI - has been deeply embedded across Uber’s product portfolio to power seamless and magical user experiences. We leverage these technologies to predict Estimated Time of Arrival (ETA) for rides and Estimated Time of Delivery (ETD) for orders, intelligently match riders with drivers, recommend restaurants and dishes to Uber Eats users, detect fraudulent transactions, and power increasingly intelligent experiences across product discovery, customer support, document processing, and internal productivity tools such as coding copilots and on-call assistants, just to name a few. To support these expanding AI use cases and needs, enhance the ML developer experience, and accelerate AI adoption and innovation across the company, the Uber AI Platform team built Michelangelo - one of the industry’s first end-to-end AI platforms. Developed from the ground up, Michelangelo provides industry-leading tools and capabilities that enable Uber’s AI developers to build, deploy, and manage both classic ML and Generative AI/Agentic applications at scale. As AI needs continue to grow and evolve, we are seeking an experienced and passionate AI Product Manager with strong technical depth, sharp product intuition, and an entrepreneurial mindset to own the long-term vision, strategy, and roadmap for critical components of Michelangelo, shaping how AI is built, evaluated, governed, and scaled across Uber. **What the Candidate Will Do** - Work closely with Uber’s ML engineers, applied scientists, data scientists, software engineers, and other cross-functional builders to deeply understand Uber’s AI use cases, identify user pain points and opportunities, and gather product requirements. - Set qualitative objectives and quantitative goals, define product requirements, and drive execution with the AI Platform Engineering, TPM, and UX design teams. - Internal and external stakehold