Lead Product Manager, AV Labs
Indexed description
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
- 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.
- Demonstrated ability to independently own and drive complex product areas from strategy through execution.
- Bachelor's degree or equivalent
- 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.
- 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.
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