About The Role

Whether it’s a sandwich, a burrito, or groceries, the Uber Eats team builds technology to connect people with what they want, when and where they want it. On our Product team, you will envision and execute on new products in order to accelerate the trajectory of Eats globally in a matter of months, not years.

What You Will Do

As a Group Product Manager on the Uber Eats Search & AI team, you will be at the center of delivering on our mission. As Uber Eats expands into new services like Grocery, the challenge of helping a consumer quickly find what they want grows exponentially. Ultimately your goal will be to ensure each time an Uber Eats consumer opens the app, they find exactly what they are looking for, with as few clicks and interactions as possible.

• Lead a team: You will lead a team of PMs in defining the strategy and vision of our core personalization services, converting that strategy to a roadmap, then delivering it. You will coach and grow the team and deliver through them.
• Lead a vision: You’ll oversee core elements of the Uber Eats Search and AI experience, product manage our end-to end search experience, leverage LLM to delight customers and partner with teams across the experience to ensure the entire experience is personalized to each user’s needs.
• Partner with Stakeholders: You’ll work with seasoned experts in personalization, machine learning, and ranking across Engineering, Data Science, and Design.
• Deliver Results: In partnership with your colleagues, you’ll transform your strategy into a product that scales globally. This involves considering local customer needs, cultural nuance, and competitive environments to help our business grow and retain its loyal user base.

Basic Qualifications

• Hands-on experience working on Search and/or Ranking systems, LLMs, and Machine Learning to develop world-class products while having stellar design instincts and product taste.
• Minimum 8 years of Product Management experience delivering highly successful and innovative consumer Internet products with your fingerprints all over them - you're extremely proud of what you've accomplished.
• Bachelors degree in Computer Science, Statistics, or Engineering or equivalent that includes hands-on software development experience.

Preferred Qualifications

• You are constantly customer obsessed with a clear track record of delivering elegant solutions for true user problems.
• A high bar across the board for your own contributions, for the people you work with, and for the products you work on.
• Finger-tippiness with data with the ability to get the data you need with no muss/fuss and can whip it into an insightful story with no help.
• Experience running experiments to assess the effectiveness of releases.

For New York, NY-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 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 https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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.