AV Labeling Program Manager II

About the Role

The mission of the Global Scaled Solutions (GSS) team is to transform Uber's best ideas into agile, global solutions. The team is spread out globally between the US (San Francisco, Sunnyvale, Boulder), India (Hyderabad, Bangalore), HongKong, Singapore, and Amsterdam. The Global Scaled Solutions (GSS) is focused on delivering a range of capabilities/objectives to multiple Tech and business teams while maximizing value for Uber through solutions that are:

1. Automated & Innovative
2. Industry Leading
3. Cross-organizational & Integrated

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together.

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 Go external strategy. You will gather the requirements from stakeholders to convert it into a SOP (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.

---- What You Will Do ----

1. Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows.

2. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops.

3. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements.

4. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery.

5. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment.

6. Use data to drive decisions — analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy.

7. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution.

---- What You Will Need ----

1. 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company.
2. Proven success in managing large-scale, high-precision data programs for AI/ML systems.
3. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes.
4. Experience working cross-functionally with engineering, product, and data science teams.
5. Excellent communication and stakeholder management skills, including experience influencing at senior levels.
6. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring.
7. Strong analytical mindset with the ability to turn raw data into actionable insights.

---- Preferred Qualifications ----

1. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications.
2. Experience building dashboards, operational tooling, or feedback loops for data quality.
3. Prior experience at a global tech company, startup, or consulting firm.

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.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.