Applied AI and Commercial Operations Specialist

• Architect, build, and deploy custom Agentic solutions to streamline complex operations and manual regional workflows.
• Partner with capacity planning to design, implement, and operate capacity allocations forums for Compute (CPU), Storage, and AI Chips (TPU/GPU), automating and scaling global signaling processes.
  
• Evaluate, audit, and optimize complex cross-functional GTM systems by embedding autonomous intelligence models and feedback loops directly into core infrastructure decision-making.
  
• Leverage first class machine learning and AI tools to automate demand forecasting. Use customer consumption & pipeline data to seize demand and make procurement decisions against those signals.
  
• Build and scale robust performance management systems and database platforms to track revenue-based metrics across data center revenue, sales regions, and demand forecasting.

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, BigQuery, 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.

• 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.