Tech Program Manager — AI Agents in Cloud Infra

Google

Council Bluffs (IA)

On-site

USD 163,000 - 237,000

Full time

14 days+
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Job summary

Google is seeking an AI Agents Development Technical Program Manager to lead end-to-end execution, delivery, and scaling of autonomous AI systems that optimize global data center operations. You will partner with software, hardware, and site operations teams to build robust, production-grade software that integrates into active DCOps systems.

You will drive program schedules, assess risks, and communicate tradeoffs to executives while translating complex operational needs into structured

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 and scaling.
  • Manage cross-functional dependencies across Software Eng, Hardware Logistics, Facility Ops, and Security teams.
  • Manage release processes for AI Agent deployment and transitions to production environments.
  • Collaborate with system architects to design scalable agentic platforms (multi-agent coordination, RAG pipelines, Tool Use/MCP).
  • Identify and resolve bottlenecks, model drift, data pipeline delays, and operational risks in autonomous systems.

Skills

Program management
Technical software programs
AI agents

Education

Bachelor's degree in a technical field

Job description

Google is seeking an AI Agents Development Technical Program Manager to lead end-to-end execution, delivery, and scaling of autonomous AI systems that optimize global data center operations. You will partner with software, hardware, and site operations teams to build robust, production-grade software that integrates into active DCOps systems.

You will drive program schedules, assess risks, and communicate tradeoffs to executives while translating complex operational needs into structured

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