[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Alphabet · Pittsburgh, PA # Principal Engineer, Shopping Product Graph Data Infrastructure Pittsburgh, PA, USA Senior individual contributor Data & Analytics Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there. [Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/91811815402414790-principal-engineer-shopping-product-graph-data-infrastructure) [OpenNash Jobs](https://jobs.opennash.com/) / [Alphabet](https://jobs.opennash.com/companies/alphabet/) / Principal Engineer, Shopping Product Graph Data Infrastructure ## Job description ### Minimum qualifications 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 multi-disciplinary engineering organizations. Experience with machine learning infrastructure, AI integration, or large language model (LLM) applications in production environments. ### Preferred qualifications Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field. Experience successfully driving fundamental architectural transformations for legacy, high-traffic data ecosystems. Ability to navigate complex organizational structures, seamlessly translating advanced research into tangible, real-world product impact. Domain expertise in e-commerce, product knowledge graphs, search ranking, or commercial platforms. About the job 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. You will ensure our product modeling and understanding seamlessly power new AI-driven capabilities in Search, Ads, and YouTube. Your technical leadership will impact thousands of engineers, billions of users, and a core pillar of Google's business generation. As a Principal Engineer, you will not only design industry-leading systems but also cultivate an engineering culture of excellence, mentoring senior technical leaders and setting the standard for data-driven product innovation. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. ### US $307000 - $427000 (USD) + 30% bonus target + equity + benefits Learn more about benefits at Google. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 30, 2026 - Last checked: Oct 30, 2026 - Listed for: Under a day - Location: Pittsburgh, PA, USA[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/91811815402414790-principal-engineer-shopping-product-graph-data-infrastructure) ## Hiring at Alphabet - Open jobs: 3,591 - New in the last 7 days: After two weekly collections - Tracked since: Aug 20, 2026 [All Alphabet jobs](https://jobs.opennash.com/companies/alphabet/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Alphabet ### [Senior Software Engineer, Full Stack](https://jobs.opennash.com/companies/alphabet/jobs/fafadf7dd3028e82b0da/) Pittsburgh, PA, USA ### [Software Engineer III, Infrastructure, Core](https://jobs.opennash.com/companies/alphabet/jobs/5ecf38b3a884aeee7226/) Pittsburgh, PA, USA ### [Software Engineering Manager, Consumer Shopping Infrastructure](https://jobs.opennash.com/companies/alphabet/jobs/4b996a712ed50d39137c/) Pittsburgh, PA, USA ### [Staff Site Reliability Engineer, AQI Data SRE](https://jobs.opennash.com/companies/alphabet/jobs/4711c9a8575ca05b9276/) Pittsburgh, PA, USA ### [AI Data Engineer I, Professional Services, Google Cloud](https://jobs.opennash.com/companies/alphabet/jobs/9044563d8237440c60ec/) Austin, TX, USA +1 more ## Similar jobs at other companies ### [Executive Director, Offers & Shopping Product Lead](https://jobs.opennash.com/companies/jpmorganchase/jobs/8c661e093b173ae1777b/) JPMorganChase · New York, NY, United States ### [Senior Product Associate, Merchant Experience - Offers & Shopping](https://jobs.opennash.com/companies/jpmorganchase/jobs/cff13ba7546e10f8b4f1/) JPMorganChase · New York, NY, United States ### [Engineer Senior Principal - Product Line Spacecraft Chief Engineer](https://jobs.opennash.com/companies/bae-systems/jobs/0fbef702bde7f7432877/) BAE Systems · Boulder, Colorado, United States ### [Sr. Principal, Product Software Design Quality Engineer](https://jobs.opennash.com/companies/cardinal-health/jobs/74ced726d2b356454e19/) Cardinal Health · Hazelwood, MO ### [Principal Product Manager Technical, Conversational Shopping AI](https://jobs.opennash.com/companies/amazon/jobs/3f0d79d8e1547c97ce1c/) Amazon · US, CA, Santa Clara OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. [ OpenNash ](https://opennash.com/) AI-native services firm that builds custom software and 24/7 AI agents. OpenNash Jobs is an OpenNash Applied AI project. [Book time with OpenNash](https://calendly.com/opennash/new-meeting?hide_gdpr_banner=1) Jobs - [Search jobs](https://jobs.opennash.com/search/) - [Companies](https://jobs.opennash.com/explore/) - [Hiring report](https://jobs.opennash.com/reports/hiring/) - [AI assistants](https://jobs.opennash.com/connect/) - [How it works](https://jobs.opennash.com/methodology/) OpenNash - [opennash.com](https://opennash.com/) - [Services](https://opennash.com/ai-agent-consulting/) - [OpenNash CX](https://opennash.com/cx/) - [AI Tools](https://opennash.com/ai-tools/) - [Blog](https://opennash.com/blog/) - [About](https://opennash.com/about/) Contact - [hello@opennash.com](mailto:hello@opennash.com) - [LinkedIn](https://www.linkedin.com/company/opennash) - [Support](https://jobs.opennash.com/support/) - [Privacy](https://jobs.opennash.com/privacy/) - [Terms](https://jobs.opennash.com/terms/) © 2026 OpenNash, Inc. Company names and public job postings belong to their respective owners. Employers control source availability and application decisions.