Technical Program Manager, AI Focus

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €118000 - €120000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

• Collaborate with internal business and cross-functional networking technical teams to identify and define tactical and strategic initiatives necessary to meet Google's network infrastructure needs for both expansion and cost optimization across Asia.
• Communicate progress internally and collaborate with other technical teams to track timeline and dependencies of infrastructure turn-up.
• Lead the end-to-end technical strategy, design, and delivery of internal tools, automation frameworks, and intelligent agents (AI/LLM-driven) aimed at diagnosing and resolving complex network challenges.
• Partner closely with Network Engineering, Infrastructure, and Software teams to deeply understand core networking challenges and translate them into actionable software requirements and tooling specs.
• Identify high-friction, repetitive, or error-prone manual network operations and lead cross-functional initiatives to replace them with automated workflows, minimizing operational overhead.