About the Role
About the Org
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 or GSS) organization 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
About the Role
We are looking for an exceptional candidate to lead the program delivery portfolio in the domain of engineering services and solutions at GSS - with a strong flavour of AI / ML, generative / agentic AI capabilities and related fields in Uber AI Solutions. This is an opportunity for the candidate to scale the capabilities (1 â†' 10 and beyond) for the following areas
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Skills Required
Ml, Ai, Data Analytics
Technical Program Manager • Bengaluru / Bangalore, India