Live opening · Posted 7 hours ago

Lead Product Manager, Mobility Marketplace

Uber · San Francisco, CA, USA
Own On-site Full time
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyUber
LocationSan Francisco, CA, USA
Job typeFull time
Work modeOn-site
SkillsMachine Learning, Data Analysis, Product Management, Agile
SourceOwn
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

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.
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For San Francisco, CA-based roles: The base salary range for this role is USD $216,000 per year - USD $240,000 per year.
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.
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
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.

Employment type
Full time

Work arrangement
On-site

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