About the Role
We are seeking an experienced
Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact.
You will serve as a
strategic operator and
cross-functional influencer, owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability.
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -
- 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 - analyze 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.
- Basic Qualifications -
- 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 -
- Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm.
- 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.
