Director, Product Management

About the Role
Uber Eats is looking for a Director of Product Management to lead our Grocery & Retail Selection pillar globally.
Our ambition is to make the products people need from local stores easy to find, reliably available, and deliverable within an hour. Delivering on that ambition starts with selection: connecting customers with the stores, brands, and everyday essentials they want—and giving them confidence that what they order is what they will receive.
Reporting directly to the Head of Uber Eats Product, you will lead an organization of approximately 10 Product Managers, including Group Product Managers, team leads, and senior individual contributors. You will own the global product strategy, roadmap, and investment priorities for grocery and retail selection, partnering with Engineering on architecture and technical direction.
This role combines deep platform challenges with visible customer impact. You will build the capabilities that help retailers launch faster, make complex inventory discoverable and purchasable, and turn broader selection into better shopping experiences. You will partner closely with Core Merchant Product on shared capabilities and with consumer product leaders on how selection comes to life in the Uber Eats app.
What You’ll Do
Selection Strategy & Customer Value
Define the multi-year vision, strategy, and roadmap for Grocery & Retail Selection across global markets.
Build a clear understanding of the stores, brands, categories, and products customers need most, and prioritize the selection gaps with the greatest customer and business impact.
Set investment priorities across selection expansion, catalog quality, inventory reliability, and merchant onboarding, balancing global platform capabilities with local market needs.
Establish success metrics that connect selection improvements to customer discovery, successful purchases, conversion, and repeat engagement.
Catalog Foundations & Inventory Reliability
Lead product development for scalable platforms that ingest, reconcile, and standardize product and inventory data from retailers, point-of-sale systems, commerce platforms, and enterprise software.
Improve product identity, classification, attributes, imagery, and store-level availability so customers can shop confidently and fulfillment teams can find the right items.
Partner with Engineering, Data Science, and Operations to apply machine learning, AI, and

Skills
Product Management, Machine Learning, Onboarding