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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Collaborate with physical assets team (e.g., data center, network) and engineering teams to identify, evaluate, and recommend optimal infrastructure solutions based on technical criteria, market conditions, and business objectives.
  
• Partner closely with internal cloud engineering, network, security, Finance, and legal teams, as well as external network planners, data center planners, and utility providers, to execute comprehensive infrastructure strategies.
• Analyze global cloud market trends, including hyperscale growth, hybrid/multi-cloud adoption, and demand for specific cloud services, to inform strategic infrastructure decisions.
  
• Translate complex technical cloud infrastructure requirements (e.g., power density, cooling, network connectivity, latency, security, compliance) into actionable specifications for infrastructure planning (e.g., data center, network).
  
• Develop new products where necessary to meet future infrastructure needs for Cloud and AI Expansion.