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.