Job Description

About the Role

Airports are one of the most complex and high-impact environments for Uber. Millions of riders and drivers rely on smooth airport trips every day, and delivering magical, reliable experiences here is critical to our growth.

As Senior Product Manager for Airports , you will define and execute the product strategy for how Uber operates in airports marketplaces globally. You’ll lead the vision for evolving our Rider–Driver matching, pricing, and ML-driven marketplace systems, while also designing world-class customer experiences at some of the busiest and most challenging venues in the world.

This role blends marketplace economics , system design , and consumer experience —requiring both technical depth and a deep empathy for riders and earners. You’ll work cross-functionally with data science, engineering, design, operations, and policy teams to deploy solutions at scale across diverse global markets.

What the Candidate Will Do

• Experience with marketplace dynamics, transportation, travel, or regulated operational environments (e.g., airports, venues).
• Graduate degree in Computer Science, Engineering, Economics, or Statistics.
• Proficiency in SQL and data analysis; comfort working directly with data scientists on datasets and experimentation frameworks.
• Balance of strategic thinking and systems design, with passion for creating best-in-class user experiences.

Basic Qualifications

• 5+ years of Product Management experience with consumer tech products, ideally at scale.
• Strong analytical skills; able to design, interpret, and act on data-driven experiments.
• Excellent communication and cross-functional leadership; proven track record of aligning diverse stakeholders.
• Bachelor's degree in Computer Science, Engineering, Economics, or a related quantitative field.

Preferred Qualifications

• Experience with marketplace dynamics, transportation, travel, or regulated operational environments (e.g., airports, venues).
• Graduate degree in Computer Science, Engineering, Economics, or Statistics.
• Proficiency in SQL and data analysis; comfort working directly with data scientists on datasets and experimentation frameworks.
• Balance of strategic thinking and systems design, with passion for creating best-in-class user experiences.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

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 Seattle, WA-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. You will also be eligible for various benefits. More details can be found at the following link .

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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 .

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.

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