About the Role
We are looking for a Product Manager to join our Mobility Matching team. This team is responsible for designing and improving the algorithms and Machine Learning models that optimize how riders and drivers are matched. Our work has a massive topline impact, high visibility across the company, and requires rapid execution and iteration.
As a highly technical PM, you will work closely with ML engineers, data scientists, and business stakeholders to build and launch ML-driven products that drive efficiency, fairness, and profitability.
You will drive strategy and execution for ML-powered optimization products, using Operations Research and advanced mathematical modeling to define and maintain the optimal operating point for Uber’s marketplace. This role requires hands-on experience shipping AI/ML products at scale and strong marketplace intuition.
This is a unique opportunity to shape the core economics of a major marketplace and deliver tangible impact at scale!
What the Candidate Will Do
- Define & execute product strategies that optimize matching algorithms for drivers and riders.
- Work closely with ML engineering and data science to experiment, measure, and improve model performance and core algorithms.
- Analyze marketplace performance and make data-driven decisions to optimize supply-demand balance.
- Collaborate with cross-functional teams, including Operations, Finance, and Growth, to align on pricing strategies.
- Identify key trade-offs between driver earnings, rider experience, and business growth, making recommendations accordingly.
- Develop and manage the product roadmap, prioritizing features and improvements for rapid execution.
Basic Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
- 3+ years of Product Management experience in a very data-driven and algorithm-heavy environment.
- Must have a very strong technical background - this person will be creating and implementing matching ML models and optimizing algorithms.
Preferred Qualifications
- Prior professional or academic experience in Machine Learning, Operations Research, Linear Programming, Optimization or Statistics
- Experience working on products that have a multi-sided marketplace is a strong plus
- Strong analytical skills, with the ability to interpret data and make decisions accordingly.
- Fast execution mindset: Ability to iterate quickly, test hypotheses, and adapt based on results.
- Excellent communication and collaboration skills to work across engineering, operations, and business teams.
For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
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.
