Group Product Manager, Generative AI, Google Cloud AI

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.
• Experience driving product direction, go-to-market strategy, managing product strategies and design discussions.
• Experience with the domain area of Generative AI or Large Language Models.
• Experience with agents, agent-builders, or workflow tools.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 7 years of experience working cross-functionally with Engineering, UX/UI, Sales Finance, and other stakeholders.
• 7 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 5 years of experience in a role preparing and delivering technical presentations to senior leadership.
• 5 years of experience in software development or engineering.
• Experience incorporating accessibility into product development methodologies, and knowledge of, or continued interest in, building accessibility best practices.

About the job

In this role, you will define and execute product roadmaps, collaborating with cross-functional teams, and ensuring Google’s leadership in the rapidly evolving AI agent and coding space. You will work closely with Engineering, Data Science, UX, and Research teams to deliver exceptional products for enterprise customers and developers alike, spanning Cloud AI and DeepMind initiatives. You will lead the product strategy for Gemini's coding abilities, including defining and building no-code/low-code agent builders in collaboration with Vertex AI and BAP teams, developing agent personalization and customization, establishing quality standards, and driving the creation of a developer-focused agent, all while ensuring a cohesive roadmap for key use cases and product priorities.

The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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 Product Requirements Documents (PRDs) by overseeing collaboration with partner teams (e.g., Engineers, Program Managers, UX, DeepMind Research, Vertex Platform, etc.) during product design.
• Own and oversee definition of product roadmaps for AI agent building tools and Gemini’s coding abilities.
• Own development and secure buy-in for a product direction that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
• Oversee validation of market size and opportunity (e.g., user-based, market research, strategic opportunity, business growth). 
• Lead the team through defining, identifying, collecting, and tracking appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.