Senior Product Manager, Maps ML

Uber

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CA
Posted
4 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $202k
$151k most similar roles pay here $244k

This listing doesn't post a salary. Most similar roles pay $177,250–$227,050.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 50 open roles on FindRole.

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At a glance

TL;DR · Senior Product Manager, Maps ML

Sr Product Manager - Maps ML will join the team to define product strategy for how the company understands location, movement, and activity in the real world. This highly technical role involves partnering with Engineering and Scientists to build and improve machine learning and sensor-based systems. The successful candidate will translate these capabilities into products that enhance safety and experience for riders, eaters, and earners across mobility, delivery, and autonomous sectors. Day-to-day responsibilities include leading cross-functional initiatives, using data and experimentation to measure impact, and scaling products globally across various devices and environments. Key technical competencies include machine learning, geospatial systems, mobile sensors, and real-time systems. The role focuses on solving complex problems in location accuracy, real-time sensing, safety, fraud, and autonomous vehicle technology to improve how the platform understands movement.

What does a Product Manager earn in California?

Median $221750 from 237 postings across 48 companies.

See salary data

What you'll do

  • Define the product strategy for how Uber understands location, movement, and activity in the real world.
  • Partner with engineers and scientists to build and improve ML and sensor-based systems.
  • Translate technical capabilities into products that improve safety and experience for Riders and Earners.
  • Lead cross-functional initiatives across Maps, Mobility, Delivery, Safety, Risk, Pricing, and Autonomous teams.
  • Use data and experimentation to determine product roadmap and measure the impact of shipped features.
  • Scale location-based products globally across different markets, devices, and operating environments.

What we're looking for

  • 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.
  • Experience with machine learning, geospatial systems, mobile, sensors, or real-time systems (preferred).
  • Experience building ML-powered consumer products (preferred).
  • Experience with platform products serving multiple teams or use cases (preferred).

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