Group Product Leader, AI Cloud & Gemini Strategy

Google

San Francisco (CA)

On-site

USD 240,000 - 333,000

Full time

14 days+
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Job summary

Google in San Francisco seeks a seasoned Product Manager for Gemini Cloud Assist, an AI-powered cloud operations assistant. You will drive the product goal, strategy, and roadmap for key user experiences and shape how agentic AI features are integrated across the application lifecycle for customers.

You will work with engineering, data science, UX, and sales to understand user needs, launch innovative features, and use data to refine performance.

Qualifications

  • 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.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Lead the product goal, strategy, and roadmap for Gemini Cloud Assist user experiences, focusing on developing agentic AI features for cloud operations and lifecycle needs.
  • Apply strong investigative skills, specifically with loss analysis and quality hill-climbing.
  • Build and run quality evaluations, with engineering and data science teams.
  • Understand user needs through research, data analysis, and market research.
  • Launch and iterate on new products and features, using data-driven decisions to improve UX.

Skills

Product management
AI integration
Cross-functional leadership
Roadmap development
User research

Education

Bachelor's degree
Master's degree

Job description

Google in San Francisco seeks a seasoned Product Manager for Gemini Cloud Assist, an AI-powered cloud operations assistant. You will drive the product goal, strategy, and roadmap for key user experiences and shape how agentic AI features are integrated across the application lifecycle for customers.

You will work with engineering, data science, UX, and sales to understand user needs, launch innovative features, and use data to refine performance.

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