Finance Intern

TensorWave•Las Vegas, NV

About The Position

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

Requirements

Currently pursuing a degree in Finance, Accounting, Economics, or a related quantitative field.
Strong Excel skills with a desire to build well-structured, scalable models.
Familiarity with financial statement analysis and core accounting concepts.
Genuine curiosity about infrastructure, cloud computing, or the AI ecosystem. You don't need to be an expert, but you should want to understand how this business actually works.
Strong research skills and comfort synthesizing information from multiple sources (utility filings, industry reports, competitor pricing pages, etc.).
Clear written and verbal communication. You'll be documenting assumptions and presenting work to leadership—clarity matters.
Self-directed work style with the ability to push projects forward without constant oversight, while knowing when to ask questions

Responsibilities

Financial Modeling & Analysis: Enhance and maintain deployment models by researching and integrating detailed assumptions - power consumption by workload type, PUE factors, ramp timelines, and utility rate forecasts.
Unit Economics & Reporting: Support the development of customer-level profitability analysis, including revenue per GPU-hour, allocated power costs, and margin by contract type. Assist with data validation and monthly reporting processes.
Fundraising & Investor Relations: Support the team in creating materials for potential debt and equity capital raising processes.
Cross-Functional Projects: Support analytical initiatives across departments, translating business context into financial models and reporting frameworks.
Reporting & Automation: Develop and maintain financial reports and dashboards in Vena. Support the buildout of our reporting infrastructure while identifying opportunities to streamline manual workflows and improve data accuracy.