Senior PM, Maps ML & Real-Time Location

Uber Technologies Inc.; Sunnyvale (CA); On-site; USD 190,000 - 211,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber Technologies Inc. is seeking a Senior Product Manager to lead location, movement, and activity initiatives across Maps, Mobility, Delivery, Safety, and Autonomous teams.

You will partner with engineering and ML/data science to translate complex sensor-based insights into scalable product experiences for Riders, Eaters, and Earners. You will use data and experiments to decide what to build, drive cross-functional initiatives, and scale solutions globally across markets, devices, and

Qualifications

• 5+ years of product management experience shipping measurable products.
• Experience working 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.

Responsibilities

• 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.

Skills

Product management

Engineering collaboration

Analytical thinking

Cross-functional leadership

Communication

Education

Bachelor's degree

Job description

Uber Technologies Inc. is seeking a Senior Product Manager to lead location, movement, and activity initiatives across Maps, Mobility, Delivery, Safety, and Autonomous teams.

You will partner with engineering and ML/data science to translate complex sensor-based insights into scalable product experiences for Riders, Eaters, and Earners. You will use data and experiments to decide what to build, drive cross-functional initiatives, and scale solutions globally across markets, devices, and