**About the Role**

The Feed team owns all of the discovery surfaces and personalization for UberEats. As a Senior Product Manager on this team, you will lead the product charter for Home Feed personalization. You will help accelerate our mission to help customers land their next order, encourage exploration and delight them with recommendations. You will work with a team of world class scientists, designers and engineers to bake gen ai powered experiences on home feed such that customers can seamlessly discover restaurants, grocery stores, pharmacies and other offerings from Uber Eats.

**What the Candidate Will Do**

- Define a product vision and strategy for the team; identify near and long-term initiatives to execute an effective product roadmap
- Translate user needs into product requirements by distilling user problems, writing hypotheses, and describing desired outcomes
- Clearly communicate product plans, tradeoffs and results to a wide audience, including internal partner teams, executives, end users and external partners
- Launch experiments to test changes and analyze results, tradeoffs to drive launch decisions
- Build, launch and drive usage of brand new, innovative features and experiences that deeply embed Uber’s reservations product into earners routines
- Partner with teams throughout Uber and collaborate with them to adapt their features and plans for consumers with planning use cases
- Work closely with a team of world-class engineers, designers, data scientists, and user researchers, setting team deliverables, roadmap and driving execution
- Build and foster a strong team culture with a focus on collaboration, execution and results

**Basic Qualifications**

- Computer science undergraduate degree (or other engineering degree equivalent).
- Minimum 5 years Product Management experience delivering highly successful and innovative technology products.
- Passion for working on machine learning, personalization based products.
- Experience with running experiments and data-driven decision-making ability.
- High standards across the board - from your own contributions to the people you work with to the products you work on.

**Preferred Qualifications**

- Experience utilizing machine learning to develop world-class product
- Finger-tippiness with data: you just go 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
- Stellar design instincts and product taste.

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 Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Sunnyvale, 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](https://www.uber.com/careers/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](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.