Cloud Infrastructure and Operations Lead, Google Cloud

• Leverage AI tools to develop demand forecasts for global data center regions across multiple input dimensions including segmented customer consumption, product level usage, & pipeline data to size demand and make procurement decisions against those signals.
• Partner with Capacity Planning to design and implement capacity allocations forums for Compute (CPU), Storage, and AI Chips (TPU/GPU), automating and scaling global signaling processes.
• Partner with account managers and customer engineers to intake customer capacity requirements and manage them through the capacity and product allocation processes.
• Own a set of data center regions and guide them through performance management program including tracking revenue-based metrics across data centers, sales regions, and customers segments. Develop analytics to find root causes of consumption trends and convert those analytics into actionable insights.
• Influence executive-level decision-making.

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree or equivalent practical experience.

• 6 years of experience in Product Management, Customer Engineering, Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management.
• Experience with data analysis and generating data-driven insights to influence executive-level decision-makers.
• Experience with cloud infrastructure, including IaaS compute, storage, and networking products and AI models., * MBA or Master’s degree including Finance, Operations, Engineering, and Management.
• Experience tailoring and delivering compelling reporting and presentations by audience, asking strategic questions, and leading conversations that drive results and efficiencies.
• Knowledge of enterprise customers and cloud technologies, products and market landscape.
• Familiarity with data center capacity planning tools & concepts across space & power, compute and storage, and different machine types.
• Analytical skills (e.g., financial modeling, Google Sheets, SQL, Looker, etc.) to problem solve, influence business leadership, measure outcomes, and evolve recommendations based on results.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

The Infrastructure Performance & Expansion team acts as trusted advisors and operational leaders, partnering with Sales, Customer Engineering, Infrastructure (Engineering & Product), Capacity, and Finance to plan, strategize, and run the business in a transformational way.

Our team sits at the nexus of infrastructure strategy, capacity planning, and sales operations to plan long term demand and ensure that all of our data center, compute, and AI resources are fully monetized. We execute our GTM strategy at the global level, influencing the highest levels of leadership here at Google Cloud. We show impact by helping our customers get what they need, when they need it.

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.

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

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits, Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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