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.

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