Technical Program Manager III, AI Agents Development, Cloud Infrastructure

About the role

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company.

Responsibilities

• Drive the execution of our DCOps AI Agent roadmap, from initial concept and architecture design through deployment, evaluation, and scaling.
• Manage complex, cross-functional dependencies across Software Engineering, Hardware Logistics, Facility Operations, and Security teams to ensure seamless integration of AI agents into active DCOps systems.
• Manage release processes for AI Agent deployment, ensuring smooth transitions from development and testing to physical production environments.
• Collaborate with system architects to design scalable agentic platforms (including multi-agent coordination, Retrieval-Augmented Generation (RAG) pipelines, and Tool Use/MCP integration).
• Identify and resolve systemic bottlenecks, model drift, data pipeline delays, and operational risks associated with deploying autonomous systems in high-stakes environments.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience driving technical software programs in an engineering organization.
• Experience building or deploying AI agents.

Preferred qualifications

• 5 years of experience managing cross-functional or cross-team projects.
• Prior experience working within hyperscale data center operations, building automation tools, or interacting with DCIM/CMMS environments.
• Track record of launching production-grade AI Agents that execute multi-step reasoning, tool usage, and real-time decision-making.
• Excellent capability to navigate extreme ambiguity, drive technical alignment across highly matrixed organizations, and translate complex operational needs into structured engineering backlogs.

Skills

Preferably, you have:

• Experience with AI and machine learning technologies.
• Strong understanding of data center operations and infrastructure.
• Ability to work effectively in a fast-paced, dynamic environment.
• Excellent communication and collaboration skills.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Pay

US: $163000 - $237000 (USD)

Schedule

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Qualifications

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Skills

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