Senior Product Manager, Generative AI

About The Role

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 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

• 5+ years of true technical Product Management experience delivering highly successful ML products.
• Bachelors degree in Computer Science or Engineering (Masters preferred) and can spar technically without blinking.
• Experience launching Gen AI applications or agentic systems, from initial conception to launch, is highly preferred.

Preferred Qualifications

• Former ML engineer or data scientist highly preferred.
• Elite written & verbal comms; mission-aligned.
• Data-driven driver, clarity, collaboration, and ruthless prioritization.

Pay

• New York City, NY: USD $190,000 - $211,000 per year
• San Francisco, CA: USD $190,000 - $211,000 per year
• Seattle, WA: USD $190,000 - $211,000 per year
• Sunnyvale, CA: USD $190,000 - $211,000 per year
• Eligible for Uber's bonus program, equity award, and other types of compensation.

Schedule

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.