##### **About the Role** As a Senior Product Manager on Uber Maps, you will play a crucial part in shaping the vision, strategy, and roadmap for one of our essential products - **Eater and Merchant Location,** to build a flawless ordering and delivery experience.  When using the Uber Eats app, one of the first actions a consumer takes is selecting a delivery location. Your objective will be to ensure that every time a consumer is trying to find their delivery location, they find exactly what they need with ease. This role will involve supporting location selection functionality across all of ‌ Uber's delivery product lines and in every country where Uber operates. You will work alongside a cross-functional team of product managers, engineers, designers, and data scientists across Uber, striving to build innovative, location-based experiences. Your robust expertise in UX and machine learning will be vital as you lead efforts in scaling and supporting Uber’s location selection platform, and crafting enriched experiences for our users worldwide. ##### **What the candidate will do:** - Understand the needs of a shopper on the Uber app. Improve the location selection flow for Uber Eats users, including ranking and UI changes across multiple screens, leading to less time spent on address selection and more time spent on actual shopping. - Define the strategy and vision for **Eater and Merchant Location Selection**, convert that strategy into a roadmap, and then deliver it. This includes expansion of existing products and building new products. - You will expand the product to new markets, which involves considering local customer needs, cultural nuances, and data availability. - You’ll work with seasoned experts in personalization, machine learning, and design to build the industry's best location selection product. - You will be constantly customer-obsessed, evaluating signals across critical metrics and customer anecdotes and making impactful decisions. ##### **Basic Qualifications:** - Minimum of 5 years Product Management experience delivering innovative ML products. - Bachelor's degree in Computer Science or related field. - Customer obsession and strong expertise in user experience. You have a knack for taking on complex product challenges and finding elegant solutions that are delightfully simple for our users. - Experience working on Machine learning, Statistics, and/or Recommender systems. ##### **Preferred Qualifications:** - Experience in Search and Location products will be a bonus. - Finger-tippiness with data: you just get the data you need with no muss/fuss and can whip it into an insightful story with no help. - A “Driver” mindset. You are biased toward action, a great collaborator, a master disambiguator/simplifier, and constantly pushing toward clarity and delivery. 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 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 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](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.