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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.
Job Responsibility:
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
Translate broad business and technical goals into clear product requirements, launch plans, milestones, and success metrics
Develop comprehensive PRDs and data-driven trade-off matrices to evaluate competing solutions based on scalability, cost, and technical constraints
Partner closely with engineering and science teams to identify the highest-impact opportunities, break down complex problems, and drive high-quality execution
Communicate roadmap direction, execution progress, and key risks clearly to leadership and partner teams
Requirements:
Demonstrated ability to independently own and drive complex product areas from strategy through execution
Strong product instincts, structured thinking, and ability to work through technical ambiguity with engineering and cross-functional partners
Experience defining product requirements, prioritizing roadmaps, and delivering meaningful outcomes in technical product environments
Ability to operate with urgency, adaptability, and high ownership in fast-moving environments
Nice to have:
Experience working on products in autonomous vehicles, robotics, AI/ML industries or related technical domains
Domain expertise in at least one of the following pillars: sensor & compute integration, AI & ML systems, or evaluation & validation engines
Comfort operating across software and hardware-adjacent problem spaces
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan