Cloud Infrastructure and Operations Lead, Google Cloud

About the job

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.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

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

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.

Responsibilities

• 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.