Cloud & AI Finance Intern

📋 Description

• Build, maintain, and refine quantitative models tracking AI token consumption, prompt/completion
• Analyze compute, storage, and infrastructure spend trends across cloud platforms (e.g., GCP/AWS)
• Query and connect to Google BigQuery data warehouses to extract large-scale usage telemetry
• Track model usage patterns, agentic workflows, and API call volumes to evaluate infrastructure
• Research emerging AI industry trends, agent architectures, and pricing/token economics to benchmark
• Design and build automated dashboards (e.g., Tableau, Google Looker Studio, Mode) to provide

🎯 Requirements

• Currently pursuing a Bachelor's or Master's degree in Finance, Economics, Data Science, Computer
• Deep curiosity and enthusiasm for artificial intelligence, large language models (LLMs), agentic
• Proficiency in SQL and querying large relational datasets/data warehouses (experience with Google
• Advanced proficiency in Excel / Google Sheets with experience building structured quantitative or
• Strong quantitative reasoning and structured thinking with the ability to transform high-volume
• Eager to learn modern AI engineering concepts, take initiative on ambiguous projects, and leverage

🎁 Benefits

• This role is eligible for equity and benefits.