Group Product Manager, Google Ads, Consumer Shopping

Google Google · Big Tech · Mountain View, CA +2

Product Manager for Google Ads Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. The role involves strategy development, cross-functional collaboration, and understanding the competitive retail landscape to drive the deployment of ML/LLM solutions. Experience with AI-native products and agentic commerce is preferred.

What you'd actually do

  1. Develop and execute a comprehensive Shopping strategy in partnership with cross-functional leaders to identify and drive key growth opportunities and business expansion.
  2. Serve as a primary representative for Google with press, partners, and stakeholders, actively identifying and pursuing new strategic partnerships to scale the business.
  3. Maintain a deep understanding of the competitive retail landscape and emerging consumer trends to inspire engineering teams to deploy complex, ML/LLM-driven software solutions.
  4. Collaborate across Product, Engineering, Marketing, Legal, and Finance teams to ensure seamless alignment with overarching business objectives and technical modernization.
  5. Build and scale exceptional teams through proactive mentoring, coaching, and succession planning to retain and develop leadership in a high-growth environment.

Skills

Required

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management, or a related technical role.
  • 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • Experience building and designing AI-powered products or features.
  • Experience building and deploying scaled, consumer-facing products.

Nice to have

  • Master’s degree or other advanced degree in a technology or business related field.
  • Experience building AI-native products or modernizing legacy architectures using Generative AI and LLM technologies.
  • Experience with products balancing two-sided marketplaces.
  • Understanding of the competitive landscape in Retail products, including emerging trends such as agentic commerce.
  • Ability to operate with high degrees of agency, autonomy, accountability, customer empathy, and excellence.

What the JD emphasized

  • ML/LLM-driven software solutions
  • AI-powered products or features
  • AI-native products
  • Generative AI and LLM technologies
  • agentic commerce

Other signals

  • AI-powered experiences
  • ML/LLM-driven software solutions
  • AI-native products
  • Generative AI and LLM technologies
  • agentic commerce