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As part of Uber AI Solutions, the candidate will be leading Data Annotation programs, focusing on Computer Vision and Robotics, enabling enterprises to power their AI/ML products. As a Program Manager in this team, the candidate will 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. The candidate is expected to lead complex, cross-functional tech programs with strong stakeholder partnerships and drive operations for successful delivery within budget and timelines.
Job Responsibility:
Program Leadership: Defines program scope, OKRs, and KPIs. Ensures alignment with stakeholder objectives.
Cross-functional Collaboration: Lead and coordinate cross-functional teams across ops, engineering and product for all data annotation needs with Uber.
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.
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.
Requirements:
Minimum 8 years of experience in program management or product management
Experience in solving problems, both structured and ambiguous, at scale, with strong attention to detail in fast-changing business environments
Excellent written and verbal communication skills. Ability to influence and motivate people (both technical and non-technical audiences) across a broad variety of job functions through relationships
Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations, and drive customer and product-focused decisions
Self-motivated and curious, with a strong affinity for strategic problem solving, operations management, and driving action
Nice to have:
Understanding of the AI landscape and how high-quality data and continuous evaluation of models help improve performance, with a strong focus on Computer Vision and Robotics
Experience working with engineering, science, and product teams
Willing to explore and learn new technologies, hybrid processes