Senior Product Manager, Gemini Cloud Assist
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
- Experience identifying and implementing access controls, governance, and policy management for enterprise platforms or APIs.
- Experience with modern AI developer frameworks (e.g., LangChain, AutoGen, LlamaIndex, or Model Context Protocol) and building AI agents.
Preferred qualifications:
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
- Experience defining a multi-year product vision and strategy and translating it into a concrete, actionable roadmap.
- Experience influencing cross-functional teams and senior leadership without direct authority.
- Experience building products for highly technical users.
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 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.
Join the Agent Cloud team to lead the product strategy for our Agent Platform and Agent Registry. You will build the most critical component for enterprise AI governance, a robust platform that enables admins and developers to securely discover, manage, and audit agents, tools, and skills at scale. Our mission is to transform cloud into the best place in the industry to build agentic applications. You will help build the foundational platform that empowers enterprises to securely build, deploy, and govern autonomous AI agents at scale. We are developing a robust platform that provides the memory, tool orchestration, and strict governance frameworks, such as agent identity, secure gateways, and robust guardrails, necessary for AI to safely execute real-world workflows.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the product vision, strategy, and roadmap for the Agent Registry within the enterprise Agent Platform, focusing on enabling seamless discovery, governance, and lifecycle management for autonomous AI agents across the organization.
- Build detailed requirements and data models / user guides to drive the agent registration workflows, discoverability features, and compliance guardrails, in collaboration with engineering in Cloud Foundations and Cloud AI teams.
- Synthesize user needs and pain points of agent developers and admins to drive product development.
- Translate enterprise needs into detailed product specifications and use cases, specifically focusing on agent registry, identity, centralized cataloging, access controls, and auditing features.
- Track emerging technologies and trends, particularly in the areas of autonomous AI orchestration, enterprise AI governance, and platform security.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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