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Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

Uber • Bangalore, IND
Uber is hiring a Program Manager I for their Tech team in Bangalore. You'll drive cross-functional efforts to define program execution strategies and scalable data labeling workflows. This role requires a strong customer-obsessed mindset and experience in managing early-stage projects.
You are a seasoned program manager with a builder-owner mentality, ready to tackle zero-to-one challenges in the AI space. You possess a strong customer-obsessed mindset and are eager to represent Uber AI Solutions in front of clients. Your experience includes driving cross-functional efforts with teams across Operations, Product, Engineering, and Legal, ensuring that program objectives are met from inception to execution.
You have a proven track record of designing and implementing scalable workflows, leveraging both internal tools and external vendors. Your operational muscle allows you to navigate complex projects and identify opportunities for improvement, ensuring that the data labeling operations run smoothly and efficiently.
You thrive in collaborative environments and enjoy working with geographically distributed teams. Your ability to communicate effectively with diverse stakeholders is key to your success in this role. You are comfortable diving deep into execution while maintaining a strategic vision for the programs you manage.
Experience in the AI or data annotation space is a plus, as is familiarity with large language model (LLM) training. You are adaptable and open to learning new tools and methodologies that can enhance program outcomes. Your analytical skills enable you to assess program performance and make data-driven decisions that align with Uber's goals.
In this role, you will define programs and key objectives from scratch to support LLM model training in the burgeoning Gen AI space. You will design and drive scalable data labeling workflows that leverage internal tools and external vendors, ensuring that projects are executed efficiently and effectively. Your responsibilities will include collaborating with cross-functional teams to establish a clear execution strategy and product roadmap.
You will be responsible for managing the end-to-end lifecycle of annotation programs for B2B clients, ensuring that all aspects of the program are aligned with client expectations and Uber's standards. Your role will involve regular communication with clients to understand their needs and provide updates on program progress.
You will also identify opportunities for improvement within existing workflows and processes, implementing changes that enhance efficiency and quality. Your ability to see both the big picture and the finer details will be crucial as you navigate the complexities of program management in a fast-paced environment.
Uber provides a dynamic work environment where you can make a significant impact on the future of AI applications. You will have the opportunity to work with talented professionals across various disciplines, contributing to innovative projects that shape the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
In addition to competitive compensation, Uber offers a range of benefits designed to support your well-being and professional growth. You will have access to resources that foster your development and help you achieve your career goals within the company. Join us at Uber and be part of a team that is redefining the future of transportation and technology.
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