Director, Product Management, Shopping Graph Enrichment `
Google· Internet & Cloud Services· Jul 27, 2026 · 3mo agoPosted 92 days ago
Mountain View, CA, USA
In office
Full-time
Director
$179K–$240K est.
15+ years exp
Before you apply
Ghost Signal:
Open since July 27, 2026 — 92 days, and still accepting applications.
Job description
The Director of Product Management, Shopping Graph Enrichment and Personalization, will define and execute the multi-year outlook, product strategy, and roadmap for Google's Shopping Graph enrichment and personalization portfolio. Sitting at the intersection of platform strategy and advanced machine learning, you will be responsible for transforming Google's structured product catalog into a high-fidelity, context-aware repository of "well-lit paths" that power next-generation personal shopping assistants and personalized organic search. You will lead a product management organization across three critical domains: Fulfillment and Local Inventory, scaling signal collection and quality for shipping and local availability to enable high-confidence "buy now" experiences; Brand Inspiration, Video, Images, and UGC, using ML to organize merchant brands, visual assets, and user-generated content to help shoppers understand brand value; and Personal Shopping Data, linking purchase history and parsing attributes from emails to enable hyper-personalized recommendations and order tracking.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $281000 - $391000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google .
• Set the long-term outlook, product strategy, and roadmap for Google's Shopping Graph enrichment and personalization portfolio. Lead, develop, and scale a high-performing product management organization across three critical sub-domains.
• Partner closely with Engineering and Data Science to deploy sophisticated platform capabilities. Influence senior leaders across Search, YouTube, Gmail, GPay, and Gemini to ensure enrichment signals are integrated across the broader Google ecosystem.
• Reconcile and resolve conflicting objectives between Ads' commercial goals and the user experience requirements of organic Search and Gemini.
• Influence major e-commerce platforms and key merchants to expand signal coverage and define industry standards for data sharing.
• Operate with high decision-making autonomy, managing sensitive first-party data (e.g.,Gmail) responsibly under strict data protection principles and global regulations (e.g., DSA/DMA).
• Bachelor's degree in Computer Science, a related technical/quantitative field, or equivalent practical experience.
• 15 years of experience in software product management in technology, internet, or digital platform industries.
• 5 years of direct people management experience, including experience leading other managers.
• Experience leading product portfolios and driving cross-functional alignment.
Minimum qualifications:
• Bachelor's degree in Computer Science, a related technical/quantitative field, or equivalent practical experience.
• 15 years of experience in software product management in technology, internet, or digital platform industries.
• 5 years of direct people management experience, including experience leading other managers.
• Experience leading product portfolios and driving cross-functional alignment.
Preferred qualifications:
• MBA or Master's/PhD degree in a technical or engineering field.
• Technical mastery of machine learning, personalization algorithms, large-scale data platforms, and distributed systems.
• Functional experience with merchant ecosystems, product catalogs, transactional data, user privacy, and global regulatory governance (e.g., DSA/DMA).
• Exceptional leadership skills with experience influencing senior executive (i.e. C-level) stakeholders and collaborating effectively across complex, matrixed organizations without direct authority.
• Excellent communication and thought leadership skills with the ability to represent the company externally to partners and the industry.
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Keywords to mirror
machine learningml
- Platform
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