Manager, AI & Intelligent Operations

Manager, AI & Intelligent Operations Department: Operations Team: Regional Operations Location: Sao Paulo, Brazil Type: Full-Time **About the Role** Global Intelligent Operations (GiO) is building the intelligence layer that enables Uber to operate at scale with greater speed, reliability, and autonomy. As Senior Manager, AI & Intelligent Operations, you will own the operations-side execution and adoption of Uber’s Cognitive Intelligence Stack, with accountability for delivering autonomous capabilities across core Ops workflows. A central goal of this role is to return time to operators. By shifting work away from repetitive, low-value tasks and toward automated and intelligence-assisted workflows, you will help reduce burnout and enable Ops teams to focus on higher-impact, more strategic work that drives meaningful business outcomes. This role sits at the intersection of Operations, Product, and Engineering. You will lead how intelligence solutions are developed, operated, and embedded into day-to-day workflows, ensuring they move beyond prototypes into durable, high-impact systems. This includes shaping how metrics, signals, and models are applied in real operational contexts and continuously improving how teams use intelligence to reduce manual effort and improve decision quality. This is a high-ownership role for someone who thrives in ambiguity, brings strong technical judgment, and can translate operational needs into scalable, long-term solutions. **What You'll Do** - Own intelligence platform portfolio: Lead the development, operation, and continuous improvement of in-house intelligence systems, including metrics, signals, analytical models, and internal tools - Deliver autonomous Ops capabilities: Drive the rollout of automated and agentic-assisted workflows that reduce manual work and improve reliability across core Ops processes - Embed platforms into real workflows: Ensure intelligence tools are meaningfully adopted and used day to day, not just launched, by grounding them in real operator needs and workflows. - Partner closely with Product & Engineering: Translate operationa