Senior Product Manager, AV Labs
UberSan Francisco, United StatesPosted 1 April 2026
Tech Stack
Job Description
Senior Product Manager, AV Labs
Department: Product
Team: Product Management
Location: San Francisco, United States
Type: Full-Time
**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 Senior Product Manager on AV Labs, you will drive product development for critical technical initiatives and help turn complex ideas into clear, high-impact execution. You will work closely with engineering, science, operations, and partner teams to define requirements, prioritize improvements, and ship products that accelerate AV Labs’ ability to generate differentiated AV capabilities. This role is ideal for a PM who is strong in execution, comfortable with technical complexity, and excited to work in a highly cross-functional environment.
**What the Candidate Will Do**
1. Own product development and execution for a meaningful AV Labs domain spanning one or more of the following: hardware systems, machine learning, semantic understanding, and data & validation platforms.
2. Work with engineering and cross-functional partners to define product requirements, goals, milestones, and launch plans.
3. Drive execution against roadmap priorities, identify blockers early, and help teams make effective tradeoffs.
4. Gather insights from internal users, partner teams, data, and operational feedback to shape product improvements and prioritization.
5. Define and monitor product metrics to evaluate product performance, adoption, quality, and business impa
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