Principal Engineer, Shopping Graph Core Data

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As the Principal Engineer for Shopping Graph Core Data, you will play a central role in the AI transformation of the organization, enabling a step change in quality, capabilities and execution velocity. You will collaborate across many engineering and product teams to drive the transition. As the first priority, you will focus on the evolution of Product Graph: the subset of Shopping Graph containing information about purchasable products. Your work will impact hundreds of engineers, billions of users and tens of billions of Google revenue.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.

Set the technical vision and design the next-generation data infrastructure to support this AI transition, ensuring the scale, resilience, and rich feature set that clients depend on.

Enable fast iterations on Shopping Graph quality through data-driven decision-making supported by robust evaluation framework and frictionless experimentation.

Collaborate closely with cross-product area partners (Search, Ads, YouTube, GDM) to leverage their expertise and infrastructure, translating state-of-the-art techniques into tangible, real-world product impact.

Work with other engineering leads, PMs, and executives to identify areas for further improvement in Shopping Graph, ensuring all relevant domains align seamlessly.

Guide and mentor senior developers and technical leads, elevating the overall technical competency of the organization.

Minimum qualifications:

15 years of experience in software architecture.

12 years of experience in machine learning architecture.

5 years of experience in a technical thought leader role.

Preferred qualifications:

Experience leading the application of LLMs to data extraction, entity resolution, or knowledge graph construction.

Experience scaling large-scale graph storage systems, distributed knowledge bases, or massive entity-resolution platforms with billions of entities.

Experience with data infrastructure design, accelerating velocity through native support for data overlays, isolated experimentation, and robust quality introspection.

Ability to align technical direction and stakeholders across multiple product areas.

Outstanding communication and influence skills, with a demonstrated ability to align technical direction and stakeholders across multiple product areas.

Mastery of data infrastructure principles, with a focus on building systems that power complex, quality-driven data pipelines.