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October 10, 2025

Lead Group Product Manager, Cloud Intelligent Support

Senior • On-site

$227,000 - $320,000/yr

Sunnyvale, CA

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc).
  • 5 years of experience in people management, with technical leadership.
  • Experience with the domain area of Generative AI or Large Language Models.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 7 years of experience in a business function or role.
  • 7 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
  • 2 years of experience building AI/ML platforms for developers, for neural networks or Gen AI. Experience with the entire ML life-cycle from experimentation to monitoring and A/B testing.
  • Experience in one or more of the following: enterprise SaaS, cloud infrastructure, artificial intelligence/machine learning, or developer platforms.
  • Knowledge of building accessibility best practices, and experience in incorporating accessibility into product development methodologies.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You will break down problems into steps that drive product development at scale.

This role sits at the heart of that mission, leading the charge to redefine customer support through the power of AI. You will be at the forefront of engineering a support ecosystem that is automated, intelligent, and proactive. This is a highly ambiguous, changing environment where your ability to drive internal alignment and execute on bold, multi-year goals will be critical to unifying operational efficiency with a human touch, enabling the success of our customers and turning every interaction into a signal for product improvement.

We are building an intelligent platform grounded in AI-human collaboration to eliminate the trade-off between operational efficiency and a human touch. By creating a unified, real-time environment where customers, AI, and human experts solve problems together, we will forge a learning ecosystem that not only resolves issues but turns every interaction into a signal for product improvement. As we lead this transformation using Google's AI, we will provide the blueprint for our customers to achieve the same.The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Own and drive the product goal and roadmap for the entire Intelligent Support portfolio, with a clear focus on transforming the customer experience through AI.
  • Recruit, mentor, and develop a team of talented product managers. Be responsible for fostering a culture of innovation, accountability, and excellence in product execution.
  • Guide the product life-cycle from ideation through launch and iteration.
  • Influence executive leadership and key internal partners. You will advocate the product goal to secure alignment, drive adoption of new platforms and experiences, and ensure this transformation achieves Google Cloud's broader business goals.
  • Partner directly with Google's commercial AI product teams. Deploy standard platforms internally first to act as a live stress test. This creates a powerful, high-fidelity feedback loop that identifies gaps and hardens the offerings for external customers.