AI Agents Dev TPM - DCOps & Cloud Infra

Google; Midlothian (TX); On-site; USD 163,000 - 237,000; Full time

Job summary

Google is seeking an AI Agents Development Technical Program Manager to lead end-to-end delivery of autonomous, multi-agent AI systems for Data Center Operations. You will partner with software and hardware teams to design, build, and scale production-grade operational software powering global infrastructure.

You will own requirements, timelines, risk management, and cross-functional coordination across engineering, operations, and security, guiding complex projects from concept to deployment.

Qualifications

• 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.

Responsibilities

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

Skills

Program management

AI agents

Cross-functional

Data center ops

Education

Bachelor's degree

Job description

Google is seeking an AI Agents Development Technical Program Manager to lead end-to-end delivery of autonomous, multi-agent AI systems for Data Center Operations. You will partner with software and hardware teams to design, build, and scale production-grade operational software powering global infrastructure.

You will own requirements, timelines, risk management, and cross-functional coordination across engineering, operations, and security, guiding complex projects from concept to deployment.