Principal Engineer, Shopping Graph Core Data

Requirements:

• 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.

Nice to haves:

• 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.

What you'll be doing:

• 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.

Perks and benefits:

• Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
• 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.