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Senior Product Manager, Maps ML

AT Uber
Uber

Senior Product Manager, Maps ML

San Francisco, CA

About the Role

The Routing, ETA, and Traffic team powers the core algorithms that determine how every trip on Uber is routed, priced, and predicted across Mobility, Delivery, and Autonomous Vehicles. As the Product Manager for this role, you'll lead high-impact initiatives that affect billions of trips annually, from improving ETA accuracy and routing efficiency to enabling new markets. Your work will directly shape user experience, operational reliability, and growth across Uber's global platform.

What the Candidate Will Do

  • Define and drive the product vision for Uber's core Routing, ETA, and Traffic platforms, ensuring optimal trip quality, prediction accuracy, and system efficiency across Mobility, Delivery, and AV use cases.
  • Partner with engineering, data science, and research teams to deliver low-latency, scalable, and intelligent systems that power billions of trips annually across diverse geographies and modalities.
  • Lead cross-functional initiatives that align stakeholders across multiple teams at Uber to improve system reliability and user experience, and support new product launches.
  • Translate technical complexity into strategic product decisions, balancing trade-offs between cost, accuracy, latency, and user experience.
  • Own KPIs and metrics, proactively identifying opportunities to improve performance in both mature and emerging markets.

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Basic Qualifications

  • 5+ years of product management experience, with a proven track record of owning and scaling technical platform products or systems that serve multiple lines of business.
  • Bachelors degree in Computer Science or similar.
  • Strong technical fluency, including experience working with real-time systems, ML/AI-based products, or large-scale backend platforms in close collaboration with engineering and data science teams.
  • Demonstrated ability to drive complex cross-functional initiatives end-to-end, with clear impact on user experience, system reliability, or global product performance.

Preferred Qualifications

  • Background in machine learning-driven products, with the ability to translate predictive model capabilities and constraints into product requirements.
  • Prior ownership of global-scale platforms serving billions of users or transactions, with a focus on system reliability, performance, and user impact.
  • Deep cross-functional leadership experience working across engineering, data science, operations, and design, particularly in latency-sensitive or user-facing product domains.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Client-provided location(s): San Francisco, CA, USA
Job ID: Uber-145287
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • FSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • Company Equity
    • Performance Bonus
  • Professional Development

    • Work Visa Sponsorship
    • Associate or Rotational Training Program
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program