Startups · AI

Group Product Manager, AI-Enabled Business Transformation

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. In this role, you will lead a high-visibility initiative across Cloud Sales and Marketing leadership. We are looking for a product leader with experience working on data systems, turning messy unstructured data into gold mines of information, and AI fluency. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor's degree or equivalent practical experience
  • 10 years of experience in technical product management
  • Experience leading cross-functional product initiatives from conception to launch including managing the product goal, go-to-market strategy, and design discussions
  • Experience utilizing AI productivity tools to streamline business or development workflows
More about this role
  • Lead the strategy, design, and execution of the agentic data layer for Cloud's Go-To-Market (GTM) customer data.
  • Drive a cross-functional charter spanning Engineering, Data Science, Sales, and Marketing to establish self-healing data loops and real-time account intelligence.
  • Architect foundational data systems and processes to enable Gemini Enterprise as an autonomous GTM engine for Cloud users.
  • Transform unstructured customer data into structured, actionable intelligence to power AI workloads and streamline business operations.
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in technical product management.
  • 7 years of experience managing data products, including automated data hygiene (e.g., entity resolution, deduplication), building data pipelines optimized for AI workloads (e.g., RAG architectures, LLM grounding), and delivering internal or external data APIs, SDKs, or developer tooling.
  • Experience leading cross-functional product initiatives from conception to launch including managing the product goal, go-to-market strategy, and design discussions.
  • Experience utilizing AI productivity tools to streamline business or development...

Read the full posting on Google's site ↗

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