Senior Product Operations Manager

Uber
San Francisco, United StatesPosted 20 March 2026

Tech Stack

Job Description

Senior Product Operations Manager Department: Community Operations Team: Strategy & Program Operations Location: San Francisco, United States Type: Full-Time **About the Role** The Global Digital Experience team at Uber is responsible for building and scaling enterprise-grade platforms that power Operations globally. As a **Senior Product Operations Manager**, you will own the strategic Product Operations portfolio for a defined Support operations vertical, driving step-change improvements in how enterprise tools are built, deployed, and scaled. This role sits at the intersection of Product, Engineering, Data Science, and Global Operations. You will define the operating narrative for the vertical — determining what problems are prioritized, why they matter, and how success is measured — while ensuring alignment with broader company objectives and long-term platform strategy. You will operate with significant autonomy and serve as the primary Product Operations partner to senior leadership within the vertical. A core part of your mandate will be leading the enterprise AI transformation roadmap, identifying, validating, and scaling GenAI-powered capabilities that materially improve productivity, quality, decision intelligence, and scalability across global Operations. Success in this role requires strong strategic judgment, systems thinking, analytical depth, and the ability to drive executive alignment in highly matrixed, global environments. This is an opportunity to shape the operating backbone of Uber — building intelligent, resilient enterprise platforms that redefine how Operations functions at scale. **What You'll Do** - Own the strategic Product Operations portfolio for a defined Support vertical, setting priorities, sequencing investments, and ensuring alignment with company-wide objectives. - Co-shape the vertical product vision and roadmap by translating operational insights, scalability constraints, business trade-offs, and long-term platform considerations into clear decision frameworks. - Define and lead the enterprise AI transformation roadmap for the vertical, ensuring GenAI and automation initiative
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