Technical Program Manager III, AI Agents Development, Cloud Infrastructure

Job description

info_outline About the job 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.

You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Central Ops team globally manages programs and standards across the Data Center Operations fleet. The functions provide operational execution support (e.g., Incident Management, Fleet Deployment, Spares, and Maintenance Planning) along with program oversight (e.g., Operational Assessments, Data Quality, Business Process support) and transformation program partnership with the field operations.

The team supports new product introductions into the fleet. We are transitioning from static traditional tools to active, multi-agent AI workflows. These agents will autonomously diagnose equipment anomalies, optimize liquid and traditional cooling loops in real-time, orchestrate server swap-out logistics, and automate complex incident resolution paths across our physical and digital fleet. As the AI Agents Development Technical Program Manager, you will lead the end-to-end execution, delivery, and scaling of autonomous, decision-making AI systems designed to optimize global data center operations.

In this high-impact, cross-functional role, you will sit at the intersection of physical infrastructure and software engineering. You will partner closely with software developers, systems architects, site operations leads, and hardware engineering teams to build robust, reliable, and production-grade operational software.