Lead Product Manager – Fleets and Vehicles
| Company | Uber |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA |
| Salary | $216000 – $240000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of Product Management experience, including ownership of complex consumer and/or B2B products
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
- Demonstrated success leading large-scale, cross-functional initiatives with Engineering, Data Science, and Operations
- Strong product sense with a customer-first mindset—proven ability to translate real user needs into scalable, intuitive solutions
- Bias to learn fast and operate effectively in technical, data-rich, and dynamic environments
- Relentlessly high bar—for product quality, cross-functional collaboration, and personal contribution
Responsibilities
- Own the strategy and execution for fleet marketplace products that deliver high-quality supply at sustainable ROI for Uber and its partners
- Lead with data and customer empathy, combining quantitative insights with a deep understanding of fleet needs to shape product direction
- Collaborate cross-functionally with Data Science, Engineering, Operations, and Design to execute against an ambitious, multi-quarter roadmap
- Drive alignment across teams, ensuring strategic clarity and execution velocity on complex, cross-functional initiatives
- Define clear, actionable product requirements, prioritizing initiatives based on impact, effort, and long-term value creation
- Partner directly with fleet operators, integrating feedback into product development and cultivating strong relationships with strategic partners
- Communicate roadmap, progress, and impact to senior stakeholders, demonstrating thought leadership and a strong command of metrics
Preferred Qualifications
- Deep experience in vehicle access, fleet operations, logistics, or B2B platform design
- Proven success driving product strategy in dynamic, two-sided marketplace environments
- Strong fluency in partnering with Data Science—able to interpret complex models and drive product decisions that align with business goals
- Experience working directly with enterprise partners or operators to co-develop solutions and shape long-term roadmaps
- Clear, compelling communicator with a track record of influencing senior leadership and external stakeholders through data-driven storytelling