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 a TPU-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. You will build the pricing architecture, 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 CRO and CFO, run competitive and market intelligence, and assess which customer segments and workload classes Crux should prioritize, evaluate the right mix of our offering (spot vs. long-term) at the right price. You’ll 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 TPU-hour and per MW — 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
Propose Crux’s pricing architecture — 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
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, 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 cost and margin model on a defined cadence, reconciled against actuals and updated projections
Deliver a customer segment and workload attractiveness assessment as an input to the Demand/Supply Planning plan of record
Demonstrated an AI-forward and automated approach to this role — you have built, in a hands-on way, AI-enabled tools for pricing analysis, competitive intelligence, and scenario modeling that the team uses every day
After 1 year in, you will:
Run pricing as a repeatable function with an automated deal pricing tool with what-if scenario capabilities, a rate card, approval thresholds, and a lightweight deal review process
Have your unit economics, profitability, and market 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 TPU 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
You are outcome driven and hands on. Close enough to the work to be useful. 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, 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 — 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
Job details are sourced from the employer's original posting.
Open job postingAbout the company
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 the world’s most consequential AI ambitions. Crux will finance, develop, and operate the full chain required to deliver large-scale TPU compute—from power and high-density data centers to silicon, networking, orchestration software, and ongoing operations—as one integrated system. Those ambitions extend far beyond frontier models. They include faster drug discovery, earlier diagnoses, personalized treatment, mathematical breakthroughs, adaptive education, robotics for disaster response, energy optimization, national security, and data sovereignty. Their progress depends on reliable access to large blocks of accelerated compute—and on the power, facilities, networks, software, and technical expertise required to keep that compute running. Crux is being capitalized and designed to address these constraints together. Its integrated model supports long-range capacity planning, efficient data center development, optimized TPU clusters, flexible service commitments, and dependable production operations. Crux will serve hyperscalers, frontier AI labs, sovereign and public-sector customers, global enterprises, and AI-native companies through compute-as-a-service and related infrastructure services. This is the standard Crux is being built to set: every layer planned together, financed for the long term, and operated as one system—giving customers the freedom to focus on the AI they are here to create.