AI-Driven Operations & Capacity Strategist

Google; Sunnyvale (CA); On-site; USD 186,000 - 269,000; Full time

Benefits offered by this job

Health insurance

Dental & vision insurance

401(k) with company match

Paid time off: 20 days/year

Job summary

Google Cloud seeks a Cloud Infra & AI Agent Specialist to lead AI tooling across core operations. You will own projects in agentic tools engineering, demand forecasting, capacity planning, and performance management, embedding AI into business workflows.

You will analyze large datasets to inform billion-dollar infrastructure decisions, ensuring compute, storage, and AI chips align with demand and guiding executives on automation initiatives.

Qualifications

• Bachelor's degree or equivalent practical experience in CS, Engineering, Finance, or related field.
• 8 years of experience in data analysis.
• Experience with Agentic programming or application development.
• Experience with 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 Agentic solutions to streamline operations and regional workflows.
• Partner with capacity planning to design and operate capacity allocations for Compute, Storage, and AI Chips.
• Evaluate and optimize GTM systems by embedding autonomous intelligence models into core infrastructure decisions.
• Leverage ML/AI tools to automate demand forecasting using consumption and pipeline data.
• Build scalable performance management systems and data center revenue tracking across regions.

Skills

Data analysis

Agentic programming

Advanced SQL

Education

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

Tools

BigQuery

Looker

IaaS compute/storage/networking

Job description

Google Cloud seeks a Cloud Infra & AI Agent Specialist to lead AI tooling across core operations. You will own projects in agentic tools engineering, demand forecasting, capacity planning, and performance management, embedding AI into business workflows.

You will analyze large datasets to inform billion-dollar infrastructure decisions, ensuring compute, storage, and AI chips align with demand and guiding executives on automation initiatives.