Manager, Strategic Finance & Corporate FP&A

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.

TensorWave sells multi-year compute contracts and raises the capital that funds the infrastructure behind them. We're looking for a Manager, Strategic Finance & Corporate FP&A who will build the models on the commercial and corporate side of that equation: what we charge, what it returns, what the business looks like when you roll it all up, and where the next dollar of capital should go.

Reporting to the Director of Strategic Finance & FP&A, you will own two connected bodies of work. The first is commercial deal modeling: the pricing engines behind customer contracts and the return analysis that tells us whether a deal is worth signing. The second is the corporate view: the consolidated operating model, the capital allocation framework, and the strategic analysis that informs how leadership deploys capital across sites, hardware, and growth. Capital Markets runs financing execution as a separate function, and you will supply the corporate financial case that supports it rather than running the process yourself.

This is a hands-on seat with an unusual tempo. Much of the work arrives from outside: a counterparty proposal, an investor question that needs an answer the same day, a term revision that changes the economics of a deal already in flight. You should expect to be handed a problem rather than a specification and to return with the analysis, a recommended course of action, and a model that is defensible in a room with customers, investors, and the Board.

We care more about slope than tenure. If you have been the analyst your team hands the hardest models to, and you are looking for the seat where you own the answer instead of formatting someone else's, this is that seat.

• A bachelor's degree in finance, accounting, economics, applied mathematics, or another business major, or an equivalent combination of education and experience

• 4+ years in investment banking, private equity, transaction advisory, or strategic finance, with meaningful exposure to capital-intensive businesses. That could be data centers, energy, hardware, logistics, or any environment where capex, contract structure, and financing shaped the decision.

• A track record of building complex financial models from scratch, not just updating someone else's tabs

• Working knowledge of how capital structure interacts with operating decisions. You should understand what debt terms constrain and why financing structure changes what a deal is worth. We will teach the rest, quickly.

• Comfort working in models that are generated and recalculated programmatically. Our core models run tens of thousands of formulas and are built in Python. You do not need to arrive fluent, but you do need to be the kind of person who picks up a new tool over a weekend because the work requires it.

• Proven ability to take an ambiguous problem, structure it without guidance, and deliver on a short timeline

• Instinct for finding errors, including your own, and the judgment to know which ones matter

• Executive-ready written and verbal communication, and the credibility to hold a position with commercial, engineering, and external counterparts

• Evidence of a steep curve: promoted ahead of cycle, ranked at the top of your class, handed work well above your level, or taught yourself something hard because nobody else was going to

• Experience in data center, energy, digital infrastructure, semiconductor, or supply chain finance

• Exposure to take-or-pay contract economics, infrastructure returns analysis, or project finance

• Experience sitting on the company side of a transaction rather than only the advisory side

• Familiarity with Claude or similar AI tools, Python, SQL, Tableau, or Power Query

• Experience at a company or on a team where the process was being built around you rather than handed to you

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

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