Google Group Product Manager, Cloud AI, Agent Platforms and Deployment

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Job Details

Posted date: Jun 02, 2026

Location: Kirkland, WA

Level: Director

Estimated salary: $287,000
Range: $240,000 - $334,000


Description

Own the technical delivery across customer deployments from proof-of-concept to stable production deployments across customers. Extract real world signals from deployment to improve and define the platform strategy to fill in gaps and create differentiation. Drive the critical translation between "business ontology" (how humans conceptualize work) and "persistent storage ontology" (how data is represented in technical systems). Develop frameworks for agent "handholding" and guardrails to ensure successful deployment and organizational trust. Identify and extract product patterns from frontline engagements to inform the core platform roadmap.

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.

As a Product Manager, you will lead the strategy and real world deployments of AI agents, bridging the gap between business requirements and technical system architectures. You will operate at the intersection of product building and customer deployment, directly with customers to map out business use cases, build solutions using Google vertically integrated AI stack and extracting repeatable patterns to scale and improve the Gemini Enterprise platform.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 $240,000-$334,000 + 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.

Qualifications

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: Experience in frontline consulting or enterprise product leadership is highly valued. Expertise in ontologies, data frameworks, and technical translation; ability to handle the "technical translation gap" between business users and systems. Familiarity with the nuances of government or regulated industry rollouts. Proven track record of scaling product efforts and leading teams in high-growth environments.

Extended 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.

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