About the Role
Are you an AI/ML enthusiast? Does working on Agentic AI excite you? Are you thrilled about building great user experiences? If yes, read on!
At Uber, Generative AI is becoming a foundational technology across a diverse range of product lines. It powers increasingly intelligent and personalized user experiences in areas such as product discovery & recommendations, customer support, document processing, merchant assistance, and internal developer productivity tools like coding copilots and on-call assistants.
The Applied AI team at Uber is a multidisciplinary team of ML Engineers, Applied Scientists, Backend Engineers, Mobile Engineers and AI Product Managers responsible for developing compelling AI-driven user-facing experiences, and leading innovation in Computer Vision, Natural Language Processing, Personalization & Recommendations, and Generative AI Applications—at global scale. We need a vision-driven PM to turn Gen AI breakthroughs into daily delight.
What the Candidate Will Need / Bonus Points
What the Candidate Will Do
Craft and execute bold Gen-AI products for Riders, Eaters or Drivers.
Translate fuzzy user pain into lovable, metric-moving features.
Partner with Eng/DS/Design to launch fast and iterate faster.
Understand emerging AI trends and inject the best ideas into the roadmap.
Basic Qualifications
10+ years of Product Management experience delivering highly successful ML products. Experience launching Gen AI applications or agentic systems, from initial conception to launch, is highly preferred.
MS in CS/Eng (or equivalent); can spar technically without blinking.
Data-driven driver—clarity, collaboration, and ruthless prioritization.
Elite written & verbal comms; mission-aligned.
Preferred Qualifications
Former ML engineer or data scientist
~~ ~~ ResponsibilitiesFor 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.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
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.
Uber San Francisco, California, USA Office
Uber's a hybrid work environment and employees target spending 50% of their time in the office.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
