Senior Product Manager, Delivery Marketplace

Uber; San Francisco (CA); On-site; USD 190,000 - 211,000; Full time

Job summary

Uber is seeking a Product Manager for its Delivery Marketplace team in San Francisco. You will lead product strategy and development, enhancing user experiences while leveraging data and AI. Ideal candidates should have strong emotional intelligence and a proven track record in delivering innovative products.

Benefits

Participation in bonus program

Equity award options

Various employee benefits

Qualifications

• 5+ years experience delivering successful products.
• Ability to transform complex data into actionable insights.
• Strong customer focus with a background in technology.

Responsibilities

• Define roadmap and lead execution of technology products.
• Collaborate with multiple teams for marketplace efficiency.
• Monitor performance and integrate feedback for improvement.

Skills

Emotional intelligence

Product vision crafting

Data analysis

Education

Bachelor's degree in Computer Science

Job description

About the Team

Uber’s Delivery Marketplace helps consumers Get Anything by providing fast and cost-efficient logistics capabilities for food, groceries, and retail deliveries. Every dollar that is transacted in the Uber Marketplace is informed and influenced by data – and our Product team decides the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily. Uber operates an Open Marketplace – it’s open to everybody who wants to make a living. You can drive whenever you want, wherever you want, and however you want. We offer broad access to work, we expand mobility for riders, and we help local merchants reach new customers. We understand that connecting people to places and opportunities has real-world consequences, and that’s a big responsibility. Our principled approach to marketplace design helps us live up to that responsibility.

About the Role

As a Product Manager, you will be responsible for strategy and development of technology that connects customers, merchants and earners in the most fabulous and efficient way possible. You will leverage optimization, artificial intelligence and innovative design thinking collaborating cross functionally to improve experience for earners, customers and merchants while also driving massive topline/bottom line impact.

What you’ll do:

• Define the roadmap and lead execution of products that make sure we deliver on-time.
• Work closely with pricing, courier, merchant, legal and operations teams to deliver scalable delightful experiences that drive marketplace efficiency.
• Execute rapidly while maintaining a North Star aligned with Uber’s mission and strategies.
• Balance trade offs nimbly across experience, top/bottom line, regulatory risk and platformization.
• Drive cross-functional teams to set qualitative objectives and quantitative goals. Requires collaborating with and challenging all members of cross functional teams (e.g. design, engineering, data science, legal, etc.) to think boldly and creatively and channel that energy into concrete and rapid execution.
• Maintain, monitor and measure the performance of launched products and funnel takeaways back into product development and innovation.
• Communicate product opportunities, challenges, plans, benefits and results to the appropriate audience at the appropriate time.

Basic Qualifications:

• 5+ years experience delivering successful and innovative products while crafting coherent product visions, multi-year strategies, and roadmaps that your team and the business rallies behind.
• Bachelors degree in Computer Science or similar, or equivalent work experience.
• Strong customer emotional intelligence, with an ability to transform complex data and customer insights into a prioritized roadmap.

Preferred Qualifications:

• Ability to effectively engage ML engineers and/or data scientists while setting a bold technical vision. We want to see an understanding of the technology and its capabilities/limitations as well as dressing business problems with ML learnings and getting capabilities into production.
• Proven track record to work collaboratively with technical and non-technical team members up to and including the executive-level. This will be an extremely cross-functional role, with more than a handful of core stakeholder teams.
• Experience partnering with cross-functional teams of engineers, data scientists, and designers to deliver extraordinary products.
• Entrepreneurial spirit and a thirst for learning with an academic background or equivalent work experience in computer science, data science, statistics, economics or engineering.

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 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.