AI Agent & Cloud Capacity Strategist

Google; United States; On-site; USD 186,000 - 269,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Job summary

Google Cloud is leading AI-powered operations, integrating agentic tools into GTM and capacity systems. You will own projects spanning agentic engineering, demand forecasting, capacity planning, and performance management across global infrastructure.

The role blends engineering with business analysis to drive multi-billion-dollar decisions, with equity and a strong benefits package included.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience.
• 8 years of experience in data analysis.
• Experience with Agentic programming or application development.
• Experience in data analytics tools and languages, including advanced SQL, BigQuery, Looker, or similar.
• Experience in cloud infrastructure, including IaaS compute, storage, and networking products.

Responsibilities

• Architect, build, and deploy custom Agentic solutions to streamline complex operations and manual regional workflows.
• Partner with capacity planning to design capacity allocations forums for Compute, Storage, and AI Chips, automating processes.
• Evaluate, audit, and optimize cross-functional GTM systems with autonomous models and feedback loops.
• Leverage ML/AI tools to automate demand forecasting and procurement decisions.
• Build scalable performance management systems and data-center revenue tracking.

Skills

Data analysis

Decision making

Stakeholder management

Ambiguity tolerance

Problem solving

Leadership

Education

Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience

Master’s degree or PhD in quantitative field

Tools

SQL

BigQuery

Looker

Agentic programming

Job description

Google Cloud is leading AI-powered operations, integrating agentic tools into GTM and capacity systems. You will own projects spanning agentic engineering, demand forecasting, capacity planning, and performance management across global infrastructure.

The role blends engineering with business analysis to drive multi-billion-dollar decisions, with equity and a strong benefits package included.