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Fal AI

Capital Markets & Compute Strategy

Fal AI is hiring a Capital Markets & Compute Strategy in San Francisco, United States. It pays $180k-$220k a year and Level rates it ; you can apply on Fal AI.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Fal AI mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include capital markets, debt financing and equity financing.
  • Level lists 46 other open roles at Fal AI.
  • The role was posted within the past two weeks.

AI in this role

Leads capital markets and financing strategy focused specifically on compute infrastructure for a generative AI platform ecosystem.

capital-marketsdebt-financingequity-financingcompute-infrastructure

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

fal is growing fast, and so is the capital behind it. Compute is where most of that capital goes, so how we raise and structure it is one of the most important jobs in the company.

This is a capital markets role built around compute. You'll help raise and structure the capital that funds fal's growth, across debt, equity and the financing of our compute. To do that well, you'll need to understand the compute deals themselves: how capacity is priced and contracted, and what that means for how it gets financed. At most companies this work is split across treasury, capital markets and corporate development. At fal it's one role, and you'll help build it.

You'll work closely with fal's finance team and founders, and directly with lenders, investors and compute partners. fal is deliberately flat, with very few titles or layers, so you'll own real work from your first week. The pace is fast and the playbook is still being written.

This isn't a support seat. Once you're up to speed, you'll lead workstreams on your own: take a financing from first model to close, run a process with lenders or investors, and bring your recommendation straight to the founders. We're looking for someone who wants that kind of ownership and can move without being told what to do next.

This role is onsite in our San Francisco office.

What you'll do

Capital markets

  • Raise debt. Lead financings that support fal's growth, from structuring and lender outreach through diligence, documentation and close.

  • Raise equity. Help run fal's equity rounds end to end, including the model, investor materials, data room, diligence and follow-ups.

  • Own the relationships. Keep a live view of every lender, investor and compute counterparty, know what each one needs next, and make sure nothing slips.

  • Keep stakeholders informed. Manage ongoing reporting and compliance, and keep lenders and investors up to date.

Compute transactions

  • Finance compute deals. Model fal's compute commitments and the financing behind them, including cost, returns and downside cases, and bring a clear recommendation to the founders.

  • Shape the terms. Work with our compute, engineering and legal teams on the commercial and financial terms that drive cost and risk.

  • Diligence counterparties. Get to know the providers and partners we work with, and understand their financial health as well as their pricing.

Corporate development and market view

  • Evaluate strategic deals. Look at investments, partnerships and acquisitions, and build the analysis leadership needs to make a call.

  • Know the market. Keep a clear view of compute pricing and the financing market, so every deal is judged against it.

  • Automate. Use AI tools to take the manual work out of recurring reporting, diligence and deal tracking.

Requirements/Nice to have

  • 7+ years of experience, starting in investment banking and ideally followed by time in private equity, private credit, infrastructure investing or an in-house finance seat.

  • You've taken complex transactions from first look to close, and done the modeling and structuring yourself.

  • Excellent financial modeling. You can build a model from scratch, stress-test it and explain what really drives it.

  • Working knowledge of credit (term sheets, credit agreements, leases, covenants) and how equity rounds come together.

  • Good judgment. You can take a messy question, figure out what matters and land on a recommendation you'd defend.

  • Clear, simple writing. You can turn a complex model into a memo or deck that a lender, investor or founder gets in five minutes.

  • Very organized. You can run several processes at once, with many counterparties, without dropping details.

  • Resourceful, low-ego and high-urgency. You'd rather build the process than inherit one.

  • A working grasp of, or real curiosity about, how compute is priced, contracted and financed.

  • Experience financing or investing in data centers, power or other hard assets, including asset-backed, project finance or GPU financing.

  • Exposure to GPU or cloud markets, such as capacity contracts, neocloud economics or hardware procurement.

  • M&A or corporate development experience.

  • Time in a corporate or startup finance seat after banking or PE, ideally with some investor relations work.

  • A track record of using AI tools to automate finance workflows.

What we offer

  • A seat at the table on some of the largest and most interesting deals in AI infrastructure

  • Lots of room to learn and grow as the team and the deals scale

  • Meaningful equity

  • Visa sponsorship and help relocating to San Francisco

  • Health, dental and vision insurance (US)

  • Regular team events and offsites

Compensation

  • $210,000- $250,000 + equity + comprehensive benefits package

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

How we rate this

Capital Markets & Compute Strategy at Fal AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Capital MarketsDebt FinancingEquity FinancingCompute Infrastructure

Questions you could be asked

  1. Tell me about a project where capital markets was part of your work. What did you do?
  2. Tell me about a project where debt financing was part of your work. What did you do?
  3. Tell me about a project where equity financing was part of your work. What did you do?
  4. Tell me about a project where compute infrastructure was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Capital Markets, Debt Financing, Equity Financing, and Compute Infrastructure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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