Senior Program Manager Tech

About the Role We are seeking an accomplished Sr Program Manager, Tech to lead the end-to-end delivery of high-precision LiDAR annotation programs that power next-generation autonomous systems. This role is both strategic and hands-on, requiring you to bridge the gap between complex technical requirements, scalable workflow execution, and high-quality delivery in safety-critical environments.

You will work at the intersection of data engineering, product development, and operations, leading multi-disciplinary initiatives that combine LiDAR, sensor fusion, and point cloud annotation workflows into robust production pipelines. Your work will directly impact how autonomous vehicle perception systems are trained, tested, and validated.

In this role, you will:

• Own the full lifecycle of LiDAR annotation programs—from scoping and requirements gathering through deployment, monitoring, and continuous improvement.
• Partner with engineering teams to design custom workflows, data formats, and integrations that meet the unique needs of AV perception models.
• Drive automation and experimentation initiatives that reduce cycle time, improve annotation accuracy, and enhance scalability without compromising safety or compliance.
• Collaborate directly with clients to translate technical vision into operationally viable solutions, ensuring alignment on guidelines, dataset structures, and delivery timelines.
• Act as a technical liaison and problem-solver, unblocking teams, aligning cross-functional stakeholders, and mitigating risks before they impact delivery.

The ideal candidate is equally comfortable in technical deep-dives with engineers, roadmap planning with product managers, and business reviews with clients. You will thrive if you can navigate complex datasets, rapidly evolving tools, and the unique demands of autonomous vehicle programs—while keeping quality, safety, and scalability as your north star.

What You Will Do

• Lead technical program design for LiDAR annotation workflows, including 3D object detection, segmentation, and tracking, with sensor-fusion integration.
• Architect and customize workflows, input formats (CSV/JSON), tooling, data pipelines, and API integrations to enable efficient and scalable deployment.
• Pilot and implement automated tooling enhancements such as interpolation, point-cloud fusion, auto-grounding, and custom QA checks, driving experimentation and adoption.
• Collaborate cross-functionally with Sales, Delivery, Product, and Engineering teams to translate client requirements into actionable specifications and ensure continuous improvement.
• Own proofs-of-concept for new modalities (e.g., Bird’s Eye View annotation), identifying tradeoffs and aligning design choices with stakeholders.
• Engage directly with clients to understand labeling guidelines, dataset formats (point clouds + camera sync), annotation quality targets, and delivery expectations.

Basic Qualifications

• Bachelor’s degree in Engineering or a related field
• 5+ years of experience in program management, solution architecture, or a similar role within LiDAR, sensor-fusion, or autonomous vehicle data programs
• Strong project management skills, including planning, scheduling, and budgeting
• Hands-on experience with 3D annotation workflows
• Direct experience in LiDAR-focused data annotation or perception programs, with deep involvement in autonomous vehicle labeling workflows
• Experience with process management and improvement methodologies

Preferred Qualifications

• Excellent communication and interpersonal skills
• Expertise in LiDAR and sensor-fusion formats, 3D annotation standards, and delivering ≥98% accuracy in safety-critical use cases
• Exposure to interpolation logic, pre-labeling from perception models, custom QA rule creation, and tools enabling LLM or model-assisted labeling

First-hand experience integrating and customizing annotation tools such as Deepen, uLabel, Scale, or Labelbox - Experience scripting for data conversion, pre-annotation, QA pipelines, or ML validations - Familiarity with automation techniques including interpolation, auto-grounding, and rule-based QA, and comfort working with Engineering/Product teams to build scalable solutions - Strong client-facing skills with the ability to translate complex technical needs into clear delivery roadmaps - Experience with advanced 3D annotation workflows, including:

• 3D object detection
• Instance segmentation
• Multi-object tracking (MOT)

• Bird’s Eye View (BEV) and sensor fusion-based labeling

• Background in pre-sales or solution architecture roles within AV or ML data-labeling contexts

• Experience deploying annotation QA protocols, including gold sets, rule-based validation, and inter-annotator agreement

• Proven ability to translate technical requirements into scalable solutions and coordinate across Product, Engineering, Sales, and Delivery teams

For San Francisco, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.

For all US locations, 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'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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.