Technical Program Manager III, Infrastructure Capacity Planning and Automation, Google Cloud

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• Experience in automation, spreadsheets, and SQL.
• Experience in capacity planning, data center planning or infrastructure.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• 5 years of experience managing technically-challenging projects.
• Experience in software development or programming, with the ability to read or make minor code changes.
• Ability to dive into an ambiguous data set and come up with insights.
• Excellent verbal and written communication, analytical, organizational, prioritization, and multitasking skills.

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.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

As a Technical Program Manager, you will work with Google’s supply chain, data center infrastructure, networking, and software engineering teams to design and deliver the future state of resource management within Google. You will work with the identification of service efficiency at Google, the balancing of resource distribution against supply chain capabilities, data center infrastructure, shared service, and budgetary constraints, and the implementation of tools and policies to optimize resource management across the entire engineering stack at Google.

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.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Support operations and analytic projects related to the allocation and budgeting of internal infrastructure resources and driving efficiency programs.
• Support systems modeling, supply chain management, and capacity planning needs for infrastructure resources.
• Play a key role in the advancement of strategy, policy, and supporting tools for operations, and provide dashboard development, and requirements documentation.
• Work with partner teams to launch and deliver projects related to data architecture and process re-design around demand and supply-side infrastructure resource management.