About the Role

As a Lead Product Manager for the Mobility Marketplace, you will spearhead product strategies that leverage advanced algorithms to optimize user experience, operational efficiency, and marketplace dynamics. You will own product vision, roadmap development, and execution, collaborating closely with engineering, data science, and design teams to deliver impactful algorithm-driven solutions.

What the Candidate Will Do

• Develop and execute the strategic product vision for Mobility Marketplace, focusing on sophisticated algorithmic solutions.
• Drive end-to-end product lifecycle management, including ideation, prioritization, development, launch, and iterative optimization.
• Collaborate cross-functionally with data science, engineering, design, and operations teams to ensure seamless product implementation.
• Analyze complex market dynamics, customer needs, and competitive environments to inform strategic decisions and algorithmic product enhancements.
• Define clear, measurable product KPIs, track performance, and continuously improve based on data insights and user feedback.
• Communicate clearly and persuasively with stakeholders, executives, and external partners to maintain strategic alignment and transparency.

Basic Qualifications

• Bachelor's degree in a relevant field; advanced degree (e.g., MBA, Computer Science, Engineering) highly desirable.
• 7+ years of product management experience, specifically involving algorithmic products or data-driven marketplace solutions.
• Proven track record in developing and scaling marketplace or platform products leveraging complex algorithms or data-driven optimization.
• Strong analytical and strategic thinking skills, with the ability to interpret complex data sets and make informed, impactful decisions.
• Exceptional leadership, collaboration, and communication abilities, including experience managing cross-functional and technical teams.
• Adept at navigating ambiguity and driving clarity within fast-paced, dynamic environments.

Preferred Qualifications

• Experience with machine learning, optimization algorithms, or marketplace economics.

• Familiarity with agile product development methodologies and data analytics tools.

• Demonstrated capability influencing and engaging executive stakeholders effectively.

• For New York, NY-based roles: The base salary range for this role is USD**$216,000 per year**

• USD**$240,000 per year**.

• For San Francisco, CA-based roles: The base salary range for this role is USD**$216,000 per year**

• USD**$240,000 per year**.

• For Seattle, WA-based roles: The base salary range for this role is USD**$216,000 per year**

• USD**$240,000 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.