Principal Engineer, Shopping Product Graph Data Infrastructure

The Shopping Graph is Google's comprehensive, interconnected dataset of commercial information, designed to power various shopping experiences across Google services, including Search, Ads, YouTube, Discover, Chrome, and the Gemini App. The Shopping Product Graph is a key subset focused on modeling billions of purchasable products, their complex relationships, and their visual, subjective, and specification-based attributes. By synthesizing information from web crawls, merchant catalogs, and manufacturer inputs, we own the discovery, creation, and linking of all entities to form a shared, highly accurate, and complete commercial model that empowers millions of merchants and billions of users globally.

As a Principal Engineer for the Shopping Product Graph Data Infrastructure, you will drive the architectural evolution of Google's global commerce data ecosystem. You will dictate the long-term data infrastructure strategy, architecting systems capable of managing billions of entities while maintaining exceptional resilience and scale in the agentic commerce era. You will operate at the intersection of advanced machine learning and large-scale distributed systems, driving a step-function change in capability, quality, and execution velocity.