Applied AI and Commercial Operations Specialist

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googlePlaya Vista (CA)

Data Scientists Computer Systems Design Services

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About the role

Applied AI and Commercial Operations Specialist As a Cloud Infra & AI Agent Specialist, you will be at the forefront of integrating artificial intelligence into our core operational and analytical frameworks. You will own projects across four key pillars: Agentic tools engineering, demand forecasting, capacity planning, and performance management. You will embed yourself in the core operations of the business, identify the most impactful areas for AI tooling and automation, develop an implementation roadmap, and then execute. You will design custom agent frameworks, integrate them with GTM and capacity systems, and build workflow automation engines. This role requires a blend of technical engineering and strategic business analysis to evaluate large datasets and systematize processes across the entire GTM organization and to do so leveraging AI tools and agents. You will work closely with leadership to provide actionable insights that influence multi-billion dollar infrastructure decisions, ensuring our supply of compute, storage, and AI chips perfectly aligns with customer demand and Gemini model usage.

Minimum 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, Big Query, Looker, or similar. Experience in cloud infrastructure, including IaaS compute, storage, and networking products.

Preferred qualifications: Master's degree or PhD in a quantitative field such as Engineering, Statistics, Business, or Mathematics. Experience building and deploying AI Agents or LLM-based applications in a production environment. Deep understanding of data center capacity planning concepts, including AI chip types (GPU/TPU) and hardware-level metrics. Demonstrated ability to build consensus across teams and manage competing interests across senior stakeholders; presenting and leading executive reviews. Demonstrated ability to operate in an unstructured environment and bring clarity through structured platforms and automated systems.

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