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Google
Group Product Manager Lead, End-to-End Workflows, Google Cloud
🌎Mountain View, CA, USA, Sunnyvale, CA, USA
1w ago
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Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 years of experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI or ML).
  • 5 years of experience in people management, with technical leadership.

Preferred qualifications:

  • Master's degree in a technology or business related field or equivalent practical experience.
  • 5 years of experience as a people manager.
  • Experience building AI/ML systems and large-scale platforms.
  • Experience delivering goals within timelines.
  • Ability to collaborate, innovate, and solve ambiguous issues.
  • Excellent organization, prioritization, and communication skills.

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 can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In the dynamic GenAI industry, where innovation is essential and user expectations are ever-shifting, rapidly launching AI-first experiences at scale presents unique issues. This team’s mission is to build the applied AI research and ecosystem to enable fast, repeatable and safe adoption of SotA models from GDM into Google products. By developing an end-to-end platform platform, we aim to simplify these complex processes and serve as a comprehensive hub for AI development.

As the lead PM in this GenAI team, you will have the opportunity to shape how Google products use the power of Generative AI models and technologies to help drive transformative impact to Google businesses.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $214,000-$305,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.
  • Lead, develop and manage a team of high performing Product Managers (PMs).
  • Drive product strategy for end-to-end GenAI workflows.
  • Drive multi-year roadmap for GenAI workflows and underlying products.
  • Serve as a recognized authority on AI/ML technologies, advising on their integration and application in various products and solutions.
  • Build partnership with Google DeepMind (GDM) and Google PAs.