Director, Product Management, Shopping Graph Core

Google Ads and Commerce powers economic opportunity globally by connecting millions of merchants and businesses with billions of users.

The Shopping Graph represents Google's critical competitive moat: an interconnected, real-time repository of global commerce data hosting over 60 billion offers, 17 billion catalog entries, and 1.9 million merchants. As commerce enters a transformative AI-first era—where AI answer engines, agentic shopping workflows, and conversational assistants require fresh, high-precision, and contextual structured data—the Shopping Graph is the foundational engine powering all commerce experiences across Google's first-party surfaces and third-party ecosystem partners.

You will hold end-to-end accountability for the multi-year outlook, product strategy, and core platform execution of Google's Shopping Graph infrastructure. This is a pivotal, mission-critical leadership role positioned at the core of Google's commerce strategy. You will lead the core data architecture, ingestion pipelines, entity resolution, and retrieval platforms that serve as the single source of truth for shopping data globally.

In Merchant Shopping within Ads and Commerce, you will lead and scale a high-performing PM organization of product managers (PMs) and PM Managers, working in close partnership with an engineering organization.

This role demands exceptional technical depth and a proven track record of impact in large-scale infrastructure and platform roles. Operating amidst a rapidly shifting AI and ecosystem context, you will navigate technical shifts in retrieval-augmented generation (RAG), agentic commerce, and graph syndication—ensuring Google's Shopping Graph remains the industry-standard data foundation for AI-driven commercial discovery and transactions.

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

Responsibilities

• Define and execute the multi-year platform roadmap for Shopping Graph Core, ensuring the infrastructure scales reliably to power next-generation AI agents, organic Search, and Retail Ads.

• Anticipate and navigate shifts in AI answer engines, agentic workflows, and competitive threats (e.g., third-party data disintermediation), formulating strategies such as graph syndication to defend and expand Google's platform moat.

• Drive alignment across senior executive stakeholders across Search, Retail Ads, Gemini/AIM, Google Cloud, and external platform partners.

• Maintain a prioritization framework, ensuring engineering resources deliver high-impact platform capabilities, time sensitive uptime/latency SLAs, and data quality standards.

• Hire, mentor, and grow a high-performing organization of product managers (PMs) and PM managers, cultivating a culture of deep technical aptitude, platform mindset, and operational excellence.

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

• 15 years of management experience within the technology industry, including managing PM managers and leading technical platform or infrastructure organizations.

• Experience with technical impact in core infrastructure, data platforms, graph systems, search backend, or machine learning pipelines.

• Experience driving alignment and influence across multi-disciplinary executive stakeholders (e.g., Engineering, Research, UX, Data Science, and Commercial product areas).

Preferred qualifications:

• Master's degree or PhD in Computer Science, Engineering, or a related quantitative field.

• Experience leading product teams supporting co-located engineering hubs.

• Deep technical depth in large-scale distributed systems, entity resolution/clustering, graph databases, web crawling, or LLM retrieval infrastructure (RAG).

• Ability to formulate and execute platform strategy in rapidly shifting technological landscapes (e.g., transition to generative AI and agentic paradigms).

• Ability to build, retain, and inspire excellent Senior PM and PM Manager talent.