Senior Product Manager - AI Quality

Posted 11 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
We reimagine the way the world moves for the better.
The Role
Own the roadmap and strategy for AI quality products supporting agentic conversational AI. Lead prioritization, user research, data-driven decisions, and cross-functional execution with engineering, AI/ML, and data science teams. Build evaluation, testing, benchmarking, and observability capabilities that improve agent reliability and launch speed. Communicate product vision and progress to executives while balancing platform investments with immediate product needs.
Summary Generated by Built In

 

About the Role

 

 

As a Product Manager on the Customer Obsession (CO) team, you will help define the future of agentic Conversational AI at Uber. This role sits at the heart of how we build, test, and scale intelligent agents, working across AI reasoning, evaluation infrastructure, and platform tools that empower our next-generation AI assistants to interact, adapt, and learn in complex support environments.

We’re looking for someone with strong product management fundamentals and practical experience building AI /LLM products - whether that’s in agents, platforms, model evaluation, or intelligent tools. You should be excited by the challenge of making AI work in real-world, high-scale customer settings and building the infrastructure that enables others to move fast with confidence.

What the Candidate Will Need / Bonus Points

 

---- What the Candidate Will Do ----

  1. Product Thinking: Own roadmaps and prioritize work that balances long-term platform investments with short-term needs from various product teams - ensuring alignment with company objectives.
  2. Customer Focus: Advocate for the end-user by integrating design thinking and user research, ensuring AI products deliver delightful experiences.
  3. Execution & Ownership: Deeply engage with AI engineering teams to align and execute the product strategy for platform capabilities that improve how AI agents are evaluated, understood, and launched—including testing frameworks, benchmarking infrastructure, and observability tools.
  4. Data-Driven Decisions: Utilize data to prioritize features, make informed trade-offs, and continually enhance product performance.
  5. Cross-functional leadership: Work closely with engineering, AI/ML, and data science teams to design scalable systems that improve iteration speed and reliability across conversational AI products.
  6. Executive Communication: Present clear and compelling progress updates to senior leadership, aligning stakeholders and securing support.

 


---- Basic Qualifications ----

  1. Experience: 5+ years of product management experience, including 2+ years working on AI/ML or LLM-driven tech - either in platforms, tools, conversational AI, or intelligent applications.
  2. Bachelor's degree or equivalent.
  3. AI & Technical Fluency: Strong understanding of large language models, AI agent patterns, and ML workflows. You don’t need to train models, but you know how they work, how to test them, and how to build great products on top of them.
  4. Track Record: Demonstrated ability to ship technical products with cross-functional teams. You’ve taken complex systems from concept to launch, especially in ambiguous or fast-moving environments.
  5. Communication: Exceptional ability to articulate complex AI concepts and product strategies to various audiences, from engineers to senior executives. Experience in crafting executive-level presentations that convey product vision, progress, and business impact.

 


---- Preferred Qualifications ----

  1. Experience working on LLM evaluations, simulations, building AI agents and/or ML workflows. Strong understanding of large language models, how they work and how to best measure quality of AI agents
  2. Fluency with Claude Code/Cursor

 

~~ ~~ 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.

Skills Required

  • 5+ years of product management experience
  • 2+ years working on AI/ML or LLM-driven technology
  • Bachelor's degree or equivalent
  • Strong understanding of large language models, AI agent patterns, and ML workflows
  • Demonstrated ability to ship technical products with cross-functional teams
  • Exceptional communication skills for technical and executive audiences
  • Experience with LLM evaluations, simulations, AI agents, or ML workflows
  • Fluency with Claude Code or Cursor

Uber Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.

  • Parental & Family Support Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
  • Healthcare Strength Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
  • Wellbeing & Lifestyle Benefits Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.

Uber Insights

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The Company
HQ: San Francisco, CA
21,000 Employees
Year Founded: 2009

What We Do

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.

Why Work With Us

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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