Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience
• 2 years of experience with artificial intelligence/machine learning projects, tools or infrastructure
• Experience in program or project management
• Experience with AI/machine learning projects, tools, or infrastructure with applications

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects
• Experience with machine learning, intelligent agent, and prototyping
• Experience with networking, Python, R, and data science

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• 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.