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Built to set the gold standard for integrated AI infrastructure
Crux AI is a newly formed, U.S.-based integrated AI infrastructure company created to remove the physical and operational constraints on consequential AI ambitions. Crux brings together power, high-density data centers, TPU silicon, networking, orchestration software, and ongoing operations as one integrated system.
Crux is being capitalized to plan every layer together, develop each one to demanding standards, and operate the whole system with efficiency and reliability. That gives hyperscalers, frontier AI labs, sovereign customers, enterprises, and AI-native companies greater freedom to pursue the AI they are here to create.
What you’ll do
You own how Crux prices its products, how it understands its own unit economics and profitability, and how it reads the market it competes in. Crux will sign some of the largest compute contracts in the industry, and the pricing of the first handful will set the reference point for everything that follows. Because those contracts run for years, every analysis in this role is forward-looking. The question is never only what an XPU-hour costs and earns today, but how our offerings, costs, and competitive position will evolve across generation transitions, power markets, and customer demand over the life of a contract.
This is a doer’s seat. We want someone who rolls up their sleeves and builds the skill files, the models, the reference price tables, and the deal tools themselves rather than directing others to. You will:
Build our own intelligence on actual market prices for XPUs. Go beyond list prices and analyst reports to assemble a living view of what accelerated compute actually clears at by generation, term, and region, and construct reference prices for Crux’s product offerings across different terms, prepayment structures, customer credit ratings, and SLA tiers
Shape our product pricing strategy based on that market intelligence, industry trends, competitive analysis, and demand/supply forecasting, including the right mix of offerings (spot vs. long-term) at the right price and how pricing should move across generation transitions
Run deal operations end to end, from constructing the term sheet through negotiation support to contracting, so that pricing, structure, and approvals move at the pace our customers expect
Conduct customer analysis (segments, workload classes, willingness to pay, and value created per use case) to inform our value-based pricing and how we allocate capacity
Build the fully loaded cost and margin model of record and the TCO analysis that Sales takes to customers, grounded in price/performance benchmarks across accelerators and in the value Crux’s products create for specific customer use cases
You will lead deal economics on anchor contracts alongside the COO and CFO, and partner across Sales, Finance, Demand/Supply Planning, Business Operations, and Strategic Supply / Partnerships.
Signals of success include
After 90 days in this role, you will:
Complete a first-cut fully loaded cost and margin model per XPU-hour and per MW, with cost, price, and resulting margin projected over a multi-year horizon, agreed with the CFO as the basis of record
Deliver a competitive pricing and capacity landscape across neoclouds, hyperscalers, and leading AI infrastructure providers, built on your own market price intelligence rather than third-party reports alone
Publish a first version of Crux’s reference price tables by term, prepayment, credit rating, and SLA, along with the pricing architecture behind them: rate structures by generation and commitment term, take-or-pay mechanics, pass-through costs, and the approval framework for contracts above defined thresholds, anchored on deal-level profitability
Stand up a working deal operations process: a standard term sheet, a path from term sheet to signed contract, and clear ownership at each step
Adapt to a fast-paced environment, triaging appropriately and continuously improving our function
After 6 months in, you will:
Have priced Crux’s first set of anchor customer contracts using your framework and run them from term sheet through contracting, with multi-year deal economics, margin, and scenario analysis the executive team relied on
Have a customer-ready TCO and price/performance narrative versus alternative accelerated compute in active use by Sales, with value-based pricing tied to priority customer use cases
Refresh the market price intelligence and the cost and margin model on a defined cadence, reconciled against actuals, observed deal prices, and updated projections
Deliver a customer segment and workload attractiveness assessment that informs both the Demand/Supply Planning plan of record and how we allocate capacity across customers
Demonstrated an AI-forward and automated approach to this role. You have built, in a hands-on way, skill files, models, and AI-enabled tools for pricing analysis, market intelligence, and scenario modeling that the team uses every day
After 1 year in, you will:
Run pricing and deal operations as a repeatable function with an automated deal pricing tool with what-if scenario capabilities, a rate card and reference price tables, approval thresholds, and a lightweight deal review process
Have your unit economics, profitability, market intelligence, and customer work serving as a standing input to the executive team and board to inform the company’s strategic direction
Have modeled and navigated at least one XPU generation transition in pricing and contract structure, with a forward view of how the next transition will affect contract pricing and economics
Experiences, attributes and mindset that indicate you are a good match. You have:
8–10+ years in pricing, commercial strategy, or infrastructure economics, including direct responsibility for pricing long-duration, high-value capacity contracts (cloud or accelerated compute, colocation, wholesale telecom, or power) and experience with performance-based or value-based pricing
Built a unit-economics or deal profitability model a company actually ran on: used by finance, sales, and executives to make binding decisions, and reconciled against real operating data
Run deals from term sheet to signed contract, and are comfortable with the mechanics of commercial terms: prepayment, credit, SLAs, take-or-pay, and pass-through costs
You are a doer. Outcome driven and hands on, close enough to the work to be useful. You write the skill files and build the models yourself. This is a builder’s seat, not a supervisory one
You are credible with finance, sales, and engineering at the same time. You can hold a margin argument with a CFO, a competitive argument with a CRO, and a cost-stack argument with an infrastructure engineer
You have a high tolerance for ambiguity. You absorb ambiguity and navigate complexity rather than passing it along
You think like an owner of the asset over its life, not the deal in front of you. You model years forward, and care about the long-run economics of the fleet more than any single win
You build your own tools. You use AI and automation as a default in everyday work, and you’d rather build a model or agent that runs the analysis continuously than produce a one-off deck
Nice to have [Preferred, not required]:
Direct experience with accelerated compute economics, such as GPU or TPU capacity pricing, cluster TCO, or AI infrastructure financing
Top-tier strategy consulting followed by an operating role in cloud, data centers, or energy
Experience preparing pricing or market materials for board or sponsor audiences
Salary Range Information
The annual salary range for this position has been estimated based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Crux
We offer generous base, bonus and additional incentive based compensation
Health, dental, and vision coverage for you and your dependents
Company-paid life insurance and disability
Full suite of other optional benefits
401(k) Plan with 4% company match
Hybrid schedule offering four days in-office collaboration paired with one remote workday for focused, individual work
