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Cloud Infrastructure and Operations Lead, Google Cloud

Google
Sunnyvale, USA
Lead · 6+ years experience
Onsite
USD 152000-221000 / year
Discovered 2 weeks ago
lookersql

Full Job Posting

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.

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.

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