Director, Product Management, Shopping Graph Enrichment `

Google Google · Big Tech · Mountain View, CA +1

Director of Product Management for Google's Shopping Graph enrichment and personalization portfolio. This role involves defining product strategy and roadmaps, leading a product management organization, and partnering with Engineering and Data Science to deploy platform capabilities. The focus is on transforming the product catalog into a high-fidelity repository for personalized shopping assistants and organic search, leveraging ML for signal collection, brand inspiration, and hyper-personalized recommendations. The role also requires managing sensitive first-party data responsibly under strict data protection principles and global regulations.

What you'd actually do

  1. 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.
  2. 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.
  3. Reconcile and resolve conflicting objectives between Ads' commercial goals and the user experience requirements of organic Search and Gemini.
  4. Influence major e-commerce platforms and key merchants to expand signal coverage and define industry standards for data sharing.
  5. 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).

Skills

Required

  • Product management
  • Technology
  • Internet
  • Digital platform industries
  • People management
  • Leading managers
  • Product portfolios
  • Cross-functional alignment
  • Machine learning
  • Personalization algorithms
  • Large-scale data platforms
  • Distributed systems
  • Merchant ecosystems
  • Product catalogs
  • Transactional data
  • User privacy
  • Global regulatory governance
  • Leadership skills
  • Influencing senior executives
  • Collaboration
  • Communication skills
  • Thought leadership

Nice to have

  • MBA or Master's/PhD degree in a technical or engineering field
  • DSA/DMA experience

What the JD emphasized

  • multi-year outlook
  • product strategy
  • roadmap
  • machine learning
  • personalization
  • structured product catalog
  • high-fidelity
  • context-aware
  • well-lit paths
  • next-generation personal shopping assistants
  • personalized organic search
  • Fulfillment and Local Inventory
  • shipping and local availability
  • high-confidence "buy now" experiences
  • Brand Inspiration, Video, Images, and UGC
  • organize merchant brands, visual assets, and user-generated content
  • shoppers understand brand value
  • Personal Shopping Data
  • linking purchase history
  • parsing attributes from emails
  • hyper-personalized recommendations
  • order tracking
  • Users come first
  • Advertising and Commerce team
  • ads and commercial information
  • highly useful to our users
  • relevant to what our users wish to find or do
  • Advertisers worldwide
  • Google Ads
  • promote their products
  • publishers
  • AdSense
  • serve relevant ads
  • website
  • business around the world
  • products (like Google Shopping, and Google Wallet)
  • support their online businesses
  • bring users into their offline stores
  • constantly innovating
  • 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](https://www.google.com/about/careers/applications/benefits/).
  • 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.
  • 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.

Other signals

  • personalization
  • machine learning
  • product catalog
  • data enrichment
  • user data