Principal Engineer, Shopping Product Graph Data Infrastructure
About The Position
The Shopping Graph is Google's interconnected dataset of commercial information that powers shopping experiences across Search, Ads, YouTube, Discover, Chrome, and the Gemini App. The Shopping Product Graph models billions of purchasable products, their relationships, and their visual, subjective, and specification-based attributes. It combines information from web crawls, merchant catalogs, and manufacturers to create and link entities into a shared commercial model for merchants and users worldwide. As Principal Engineer for Shopping Product Graph Data Infrastructure, you will lead the architectural evolution of Google's global commerce data ecosystem and define its long-term data infrastructure strategy. You will design resilient, large-scale systems that manage billions of entities, bringing together machine learning and distributed systems to improve capability, quality, and execution velocity. The infrastructure will support AI-driven capabilities in Search, Ads, and YouTube. The role also calls for technical leadership across a broad engineering organization, mentoring senior technical leaders, and promoting engineering excellence and data-driven product innovation. The Commerce team builds shopping experiences for people who shop on Google more than a billion times a day. Its mission is to support consumers throughout the shopping journey, from inspiration to secure checkout, and help retailers and merchants connect with consumers through tools, technology, and scale.
Requirements
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 15 years of experience in software engineering.
- Experience leading the architecture and design of distributed systems and data infrastructures.
- Experience providing technical leadership, setting technical direction, and driving consensus across multidisciplinary engineering organizations.
- Experience with machine learning infrastructure, AI integration, or large language model applications in production environments.
Nice To Haves
- Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience driving fundamental architectural transformations for legacy, high-traffic data ecosystems.
- Ability to navigate complex organizational structures and translate advanced research into tangible product impact.
- Domain expertise in e-commerce, product knowledge graphs, search ranking, or commercial platforms.
Responsibilities
- Architect the end-to-end technical strategy for the next generation of Shopping Product Graph data infrastructure, building resilient, planetary-scale systems for Google's commercial AI experiences.
- Partner with executive stakeholders, engineering directors, and product leadership across Search, Ads, and YouTube to align infrastructure capabilities with multi-year strategic business objectives.
- Advocate for integrating LLM inference and large-scale clustering into core data infrastructure, bridging advanced research with large-scale consumer applications.
- Establish standards for data-driven product quality and develop experimentation and LLM-based evaluation frameworks to accelerate engineering iteration and model accuracy.
- Guide, mentor, and elevate Senior Staff and Staff Engineers as they address complex commerce challenges.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Principal
