Uber Logo

Uber

Product Manager II, Agentic AI

Posted One Month Ago
In-Office
2 Locations
161K-179K Annually
Mid level
In-Office
2 Locations
161K-179K Annually
Mid level
Own and ship agentic AI products for Uber’s customer experience platform. Define product strategy, roadmaps, requirements, success metrics, and tradeoffs while partnering with Engineering, Data Science, Design, User Research, and Operations. Improve agent quality through evaluation, experimentation, simulations, observability, debugging, and human feedback. Use customer insights and performance data to iterate on AI-powered experiences and drive cross-functional execution from discovery through launch.
The summary above was generated by AI
About the Team
Uber's Customer Obsession AI team is building one of the largest GenAI products at Uber, serving nearly one billion customer interactions annually across all of Uber’s products globally – Rideshare, Delivery, Merchants, Autonomous Vehicles, Third-party offerings, and more.
Customer experience is at the heart of cutting-edge applied AI today. The opportunity is expanding from handling individual customer queries into an end-to-end proactive AI assistant across the full user journey. We are rebuilding the product from the ground up to be AI-native, with a world-class team across Product, Engineering, Data Science, and Design.
The team is also “AI-pilled” – every day, we find and deploy new ways to use AI internally to accelerate development, improve quality, and increase innovation.
About the Role
We are looking for a Product Manager to help build the next generation of Agentic AI for Customer Experience at Uber.
You will work on products and platform capabilities that enable AI agents to understand customers and their context, reason through complex situations, make decisions, and take actions on their behalf. Depending on the product area, you may work on the customer-facing agent experience, agent reasoning and orchestration, multimodal capabilities, context and memory, quality and evaluation systems, developer tooling, or other foundational capabilities required to operate AI agents at Uber's scale.
This is an opportunity to work on AI with real-world consequences and learn how to build and operate agentic systems at massive scale. Our AI serves nearly one billion customer interactions annually across a wide range of products, markets, and customer scenarios. Building these experiences requires us to move quickly at the frontier of AI while maintaining a high bar for customer experience, quality, accuracy, and safety.
You will partner closely with Engineering, Data Science, Design, User Research, and Operations to turn advances in AI into products that meaningfully improve the customer experience.
What You’ll Do
 
  • Build agentic AI products: Own and ship product capabilities that help Uber's AI understand customer needs, reason through complex situations, make decisions, and take actions.

  • Turn AI advances into customer experiences: Stay close to rapidly evolving AI capabilities and identify opportunities to translate them into intuitive, differentiated experiences for Uber customers.

  • Own a product area end-to-end: Contribute to product strategy and roadmap, define requirements and success metrics, make tradeoffs, and work closely with cross-functional partners from discovery through launch and iteration.

  • Drive AI quality: Partner with Engineering and Data Science to understand agent behavior and improve it through capabilities such as evals, experimentation, simulations, observability, debugging, and human feedback.

  • Champion the customer: Use customer insights, research, data, and product intuition to deeply understand customer problems and ensure technology translates into a high-quality user experience.

  • Work across the stack: Develop enough technical depth to engage with how agentic systems work – from models and reasoning to tools, context, orchestration, platform infrastructure, and the experiences customers ultimately see.

  • Use data to learn and iterate: Define success metrics, analyze product and model performance, identify opportunities, and use experimentation and customer feedback to continuously improve the product.

  • Drive cross-functional execution: Work closely with Engineering, Data Science, Design, User Research, Operations, and other Uber product teams to move quickly from ideas to products in customers' hands.

  • Operate with speed and curiosity: Experiment with new AI tools and ways of working, including using AI to accelerate product discovery, prototyping, analysis, testing, and iteration.
     

    Basic Qualifications

  • Product experience: Bachelor’s degree and 3+ years of Product Management experience, including high-impact internships. You have contributed to shipping and improving technology products used by real customers.

  • Strong product thinking: You can take an ambiguous customer or business problem, break it down, identify the highest-leverage opportunities, and translate them into a clear product plan.

  • AI curiosity and technical depth: You are excited about AI and have a strong desire to understand how modern AI and agentic systems work. You can engage deeply with Engineering and Data Science on technical tradeoffs without needing to be an engineer yourself.

  • Customer obsession: You care deeply about the quality of the end-user experience and can combine product intuition, customer research, and quantitative data to make good decisions.

  • Strong execution: You are comfortable operating in ambiguity, getting into the details, making tradeoffs, and driving cross-functional teams toward outcomes in a fast-moving environment.

  • Analytical mindset: You use data to understand problems, evaluate product performance, test hypotheses, and make decisions.

  • Communication and storytelling: You can clearly articulate the customer problem, product rationale, and tradeoffs to both technical and non-technical audiences.

  • High ownership and learning velocity: You are curious, hands-on, and eager to learn. You move with urgency, seek out feedback, and are excited to build in a space where the technology and product possibilities are evolving rapidly


Preferred Qualifications
 

Experience working on mobile experiences and consumer products.

Phenomenal track record of working with engineering, analytics and design teams, with proven examples to prioritize work across the team.

Grittiness: you never hesitate to roll up your sleeves and tackle something hands-on.

Proven track record of growing and scaling a product.


Responsibilities

For San Francisco, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 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 Us

Ready 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.

HQ

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

41 Minutes Ago
Hybrid
Belmont, CA, USA
37K-66K Hourly
Senior level
37K-66K Hourly
Senior level
Fintech • Financial Services
Acquire and deepen relationships with affluent and complex customers, manage a book of business, provide multi-product financial guidance across deposits, lending, investments and business banking, coordinate with Wealth/Home Lending/Business partners, promote digital adoption, ensure accurate documentation and regulatory compliance, and support branch team performance.
41 Minutes Ago
Hybrid
Millbrae, CA, USA
38K-67K Hourly
Senior level
38K-67K Hourly
Senior level
Fintech • Financial Services
Leads a Wells Fargo branch team to grow customer relationships, deposits, lending, credit card, and investment business. Responsibilities include hiring, coaching, performance management, sales execution, customer needs analysis, digital banking education, cross-functional partnership, operational risk management, compliance, and loss prevention. The role requires completing the Branch Manager Readiness Program unless already serving as a Wells Fargo branch manager.
41 Minutes Ago
Hybrid
San Francisco, CA, USA
38K-67K Hourly
Senior level
38K-67K Hourly
Senior level
Fintech • Financial Services
Leads a Wells Fargo branch team, driving customer acquisition, relationship growth, deposits, lending, credit card, and investment sales. Coaches and develops employees, manages performance, promotes digital banking solutions, partners with internal sales groups, and balances growth with operational risk, compliance, and customer protection. The role begins with required participation in the Branch Manager Readiness Program and may require travel up to 50% during the first six months.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account