Sr Product Manager - Maps ML

About The Role

Every Uber trip starts with a simple question: where are you? Answering it accurately and reliably is surprisingly hard. Uber combines GPS, mobile sensors, machine learning, maps, and real-time data to understand where people and vehicles are and what is happening around them. We are looking for a Senior Product Manager to lead this work and turn it into better experiences across Uber.
Every Uber trip starts with a simple question: where are you? Answering it accurately and reliably is surprisingly hard. Uber combines GPS, mobile sensors, machine learning, maps, and real-time data to understand where people and vehicles are and what is happening around them. We are looking for a Senior Product Manager to lead this work and turn it into better experiences across Uber.
You will partner closely with Engineering and Scientists to solve challenging problems in location accuracy, real-time sensing, safety, fraud, and autonomous vehicles. You will also have the opportunity to take these capabilities into the hands of millions of Riders, Eaters, and Earners through new product experiences.
This is a highly technical product role with broad scope, global scale, and direct customer impact.
What You'll Do

Define product strategy for how Uber understands location, movement, and activity in the real world.
Work closely with engineers and scientists to build and improve ML and sensor-based systems.
Turn new technical capabilities into products that improve the experience and safety of Riders and Earners.
Lead cross-functional initiatives across Maps, Mobility, Delivery, Safety, Risk, Pricing, and Autonomous.
Use data and experimentation to determine what to build and measure the impact of what you ship.
Scale products globally across different markets, devices, and operating environments.
Basic Qualifications

5+ years of product management experience shipping products with measurable impact.
Experience working closely with Engineering and ML/Data Science teams.
Strong analytical and problem-solving skills.
Experience building technically complex products at consumer or marketplace scale.
Strong communication and cross-functional leadership skills.
Preferred Qualifications

Experience with machine learning, geospatial systems, mobile, sensors, or real-time systems.
Experience building ML-powered consumer products.
Experience with platform products serving multiple teams or use cases.
Experience in mobility, logistics, autonomous systems, safety, fraud, or related fields.
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.
For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 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.
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.
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.

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