Senior Program Manager, Tech - Uber AI Solutions

Senior Program Manager, Tech - Uber AI Solutions Department: Engineering Team: Program Manager Location: San Francisco, United States Type: Full-Time **About the Role** At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high-quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human-in-the-loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for robotics, computer vision and related fields. This is an opportunity for the candidate to build and scale the customer mindshare and impact large-scale vision models and establish us as a leader in the AI training space. **What the Candidate Will Do:** - Client engagement for presales support - partner with Sales to interact with prospective clients (AI frontier labs, robotics & video generation companies in the physical AI space) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during cli