Strategic Finance Lead

Role Description

You will own strategic finance at Prime Intellect - the models, analyses, and financial judgment that inform every major decision the company makes, from nine- and ten-figure compute commitments to GTM strategy to the next fundraise.

This is not a traditional FP&A role. Compute is our largest cost, our core product, and the place where financial judgment has the highest leverage. You'll work on the operating economics of our supply:

• Per-contract P&L across hyperscalers, neoclouds, and datacenter operators globally
• Reserved vs. spot tradeoffs
• Margin by workload, customer, and product

You'll partner with the leadership team on capital allocation and every meaningful supply decision, with GTM on pricing and revenue planning, and with Engineering on the unit economics of everything we ship.

You'll be the person who can model what a $200M reserved capacity commitment does to gross margin across three demand scenarios on a Tuesday, reconcile a neocloud partner's invoice against forecast on Wednesday, and partner with Sales on enterprise pricing on Friday.

Responsibilities

• Compute & Infrastructure Finance
  • Own the operating P&L for Prime Intellect's compute supply — per-contract economics across reserved capacity, spot, and hybrid arrangements
  • Partner closely with the leadership team on every meaningful supply decision: hardware generation, contract term, commitment level, provider mix, geography
  • Build and maintain per-contract cost forecasts; run budget-vs-actual; reconcile operating partner invoices to forecast
  • Own margin architecture: margin by workload, customer, product, and contract — so we always know what's actually profitable and where the leverage is
  • Model the long-term P&L consequences of today's supply bets under multiple demand and pricing scenarios
  • Serve as a finance counterpart in our operating relationships with neoclouds, datacenter operators, and other supply partners
• Strategic Finance & Capital Allocation
  • Partner with leadership on the biggest financial decisions the company makes: compute commitments, hiring plans, product bets, fundraising
  • Own the long-range plan, scenario models, and the framework for how we allocate capital across compute, headcount, and product investment
  • Build the models that turn ambiguous strategic questions into decisions we can make with conviction
• GTM Finance
  • Partner with Growth on revenue goals, sales capacity planning, deal desk, pricing, and marketing ROI
  • Build forecasting models that incorporate usage patterns, committed capacity, credit balances, and expansion signals
  • Inform pricing strategy for consumption-based and hybrid products
• Fundraising & Financial Reporting
  • Build the financial narrative, models, and diligence materials for fundraising rounds
  • Build internal reporting: KPIs, financial performance, key bets and their status
  • Partner with the CEO on investor communications and strategic updates

Qualifications

• 5+ years across strategic finance, infrastructure investing, growth/private equity, investment banking, consulting, or operating finance roles at high-growth tech or AI infrastructure companies
• Exceptional modeling and analytical skills — you build the models yourself, and your models reflect how the business actually works, not just accounting conventions
• Strong commercial and business judgment — you understand that finance's job is to inform decisions, not just report on them
• Comfortable with complex, usage-based, or infrastructure-heavy business models
• Ability to operate at multiple altitudes — modeling a contract one hour, framing a strategic decision for the CEO the next, building a board deck after that, sitting across from a neocloud CFO the day after
• Comfortable being the finance person in the partner/vendor room, partnering with technical operating teams
• High ownership — you see gaps and build the fix before anyone asks
• Comfortable in ambiguity and speed; this company and this market don't slow down
• AI-native in how you work: you use LLMs, automation, and programmatic tools to build systems that scale without manual upkeep

Bonus

• Direct experience with AI infrastructure, datacenter, colocation, cloud, or power/energy economics and contract structures
• Experience working on infrastructure operating P&L and cost-out programs
• Background in AI infrastructure, cloud providers, or compute marketplaces
• Fundraising experience at growth stage
• Proficiency with financial modeling tools and languages (SQL, Python, Excel)

Benefits

• Competitive Cash Compensation + meaningful equity
• Flexible work (remote or San Francisco)
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conferences