Program Manager

As a Program Manager with the Physical AI team, you will be responsible for running human-in-the-loop (HITL) operations for ML/AI projects both internal to Uber and externally as part of the Go external strategy. You will gather the requirements from stakeholders to convert them into SOPs (standard operating procedures), help hire the right talent and train the team to meet the quality and efficiency goals for the project. Run multiple pilots and help convert the pilots to scaled processes.
Responsibilities:
Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows.
Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops.
Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements.
Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery.
Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment.
Use data to drive decisions, analyse program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy.
Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution.
Requirements:
7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company.
Proven success in managing large-scale, high-precision data programs for AI/ML systems.
Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes.
Experience working cross-functionally with engineering, product, and data science teams.
Excellent communication and stakeholder management skills, including experience influencing at senior levels.
Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring.
Strong analytical mindset with the ability to turn raw data into actionable insights.
Preferred Qualifications:
Background in AI/ML operations, autonomous systems, or large-scale computer vision applications.
Experience building dashboards, operational tooling, or feedback loops for data quality.
Prior experience at a global tech company, startup, or consulting firm.

Experience
7-11 yrs