About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.

As a Lead Product Manager on AV Labs, you will own a major product area and drive end-to-end product development for initiatives that are both technically complex and strategically important. You will synthesize complex technical constraints into clear product requirements and drive zero-to-one platform builds by working closely with engineering, science, operations, and partner teams to define what gets built, why it matters, and how success is measured. This role is ideal for a PM who thrives in ambiguity, can build conviction from incomplete information, and can drive execution across multiple stakeholders in a rapidly evolving technical environment.

What the Candidate Will Do

1. Own product strategy, roadmap, and execution for a core AV Labs domain spanning one or more of the following domains: hardware systems, machine learning, semantic understanding, and data & validation platforms.
2. Translate broad business and technical goals into clear product requirements, launch plans, milestones, and success metrics.
3. Develop comprehensive PRDs and data-driven trade-off matrices to evaluate competing solutions based on scalability, cost, and technical constraints.
4. Partner closely with engineering and science teams to identify the highest-impact opportunities, break down complex problems, and drive high-quality execution.
5. Communicate roadmap direction, execution progress, and key risks clearly to leadership and partner teams.

Basic Qualifications

1. Demonstrated ability to independently own and drive complex product areas from strategy through execution.
2. Strong product instincts, structured thinking, and ability to work through technical ambiguity with engineering and cross-functional partners.
3. Experience defining product requirements, prioritizing roadmaps, and delivering meaningful outcomes in technical product environments.
4. Ability to operate with urgency, adaptability, and high ownership in fast-moving environments.

Preferred Qualifications

1. Experience working on products in autonomous vehicles, robotics, AI/ML industries or related technical domains.
2. Domain expertise in at least one of the following pillars: sensor & compute integration, AI & ML systems, or evaluation & validation engines.
3. Comfort operating across software and hardware-adjacent problem spaces.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/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.