Regional Operations Manager II

Company: Uber ORC

Location: New York, NY

Salary: $129,000 - $157,000 a year

Type: Full-time

Posted: 2026-06-27

About this role

Employer: Uber Technologies, Inc.


Job Title: Regional Operations Manager


Job Location: New York, New York


Job Type: Full Time


Rate of Pay: $129,000 to $157,000 per year


You will be eligible to participate in Uber's bonus program, and may be offered 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 .


Duties: Handle driver budgets, incentive spend and strategy for all US cities. Supply analytics and insights. Grow and maintain a healthy, high-quality driver base. Improve the driver onboarding and re-onboarding experience. Design and implement incentive strategies that align with market dynamics and business objectives. Launch and scale new product offerings that enhance the earner experience. Streamline operational processes to increase compliance, efficiency, and satisfaction for drivers. Lead the deployment of targeted promotions and incentive programs across U.S. markets. Set clear goals, analyze data to understand driver behavior, and optimize incentive strategies that drive supply and ensure a positive driver experience. Responsible for cross-functional collaboration with product, engineering, and city operations teams to ensure projects are impactful and aligned with broader company priorities. Identify and implement innovative solutions to scale and sustain growth for Uber's earner platform. May telecommute.


Employer will accept a Bachelor's degree in Engineering (any), Business, Economics, Mathematics, or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a related occupation.


Position requires:

  • Data analytics;
  • Market strategy;
  • SQL;
  • Stakeholder management;
  • Project management;
  • Rideshare marketplace incentive program experience;
  • Marketplace optimization and supply-demand modeling;
  • Data analysis using Py...

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