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 sits at the intersection of platform strategy and advanced machine learning, focusing on transforming the product catalog to power personalized shopping assistants and organic search. Key areas include scaling signal collection for fulfillment, using ML to organize brand and user content, and leveraging personal data for recommendations. The role requires influencing engineering, data science, and senior leaders across Google's ecosystem, managing sensitive first-party data responsibly, and operating with high autonomy.

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

  • software product management
  • people management
  • leading product portfolios
  • cross-functional alignment

Nice to have

  • machine learning
  • personalization algorithms
  • large-scale data platforms
  • distributed systems
  • merchant ecosystems
  • product catalogs
  • transactional data
  • user privacy
  • global regulatory governance
  • influencing senior executive stakeholders
  • collaboration across complex, matrixed organizations
  • communication
  • thought leadership

What the JD emphasized

  • advanced machine learning
  • personalization algorithms
  • large-scale data platforms
  • strict data protection principles
  • global regulations

Other signals

  • advanced machine learning
  • personalization algorithms
  • large-scale data platforms
  • hyper-personalized recommendations
  • next-generation personal shopping assistants