About the Role

As a Program Manager within the GSS AI & Data Solutions team you will managing the pilots and at scale Gen AI / data labeling projects. A Program Manager leading external projects you play a crucial role in driving the successful execution of complex projects and programs from inception to delivery. Responsibilities encompass a wide range of activities, both strategic and operational, and require a blend of technical knowledge, leadership skills, and business understanding. Leads complex, cross-functional programs with strong stakeholder partnership. Drives operations for successful delivery within budget and timelines

What the Candidate Will Do

• Execution and Delivery: Independently manage a team of data annotators to drive quality and efficiency. Delivery qualitative and quantitative insights to help improve the model development and maintenance based on customer’s needs
• Program Leadership: Defines program scope, OKRs, and KPIs. Ensures alignment with stakeholder objectives.
• Cross-functional Collaboration: Coordinate with cross-functional teams across ops, engineering and product for all data annotation needs with Uber.
• Financial: Owns program budget. Drives efficiency. Run experiments to move to low cost operating models while keeping a high bar on quality.
• Risk Management: Identify and mitigate program risks and issues, ensuring timely escalation and resolution.
• Continuous Improvement: Analyze program performance and implement optimizations to improve efficiency and outcomes.
• Communication: Provide regular program updates to stakeholders, including executive leadership. Conduct weekly, monthly and quarterly business reviews.

Basic Qualifications

• Minimum 3.5 years of experience in program management or operations management (5 years preferred)
• Experience in solving problems, both structured and ambiguous, at scale with strong attention to detail in fast changing business environments
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, and recommendations and drive customer and product-focused decisions
• Experience working on Large Scale projects ( LLM evaluations / Gen AI projects / ML based data annotation and or relatable )
• Vendor / account management experience
• Bachelors Degree Obtained

Preferred Qualifications

• Experience of working with scaled operations teams
• Exposure to ML based projects
• Excellent written and verbal communication skills. Ability to influence people across a broad variety of job functions through your relationships
• Self-motivated with a strong affinity for strategic problem solving, operations management and driving action
• Willing to explore and learn new technologies, hybrid processes

For Sunnyvale, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$137,500 per year.

You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.