Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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The Market Intelligence team operates at the intersection of technical infrastructure, product, data center development, and the global supply chain. The team provides forward-looking insights on markets, competitors, suppliers, customers, and macro forces to inform CoreWeave's infrastructure investments, product roadmaps, and supply chain strategies across GPUs, networking, power, cooling, and site development.

Key responsibilities include:

• Demonstrated leadership experience building and leading Market Intelligence or strategic analytics teams in AI, hyperscale cloud, or high-growth technology environments
• Proven track record delivering measurable value and cost savings across hyperscale or large-scale infrastructure supply chains
• Deep experience conducting competitive intelligence across neocloud and hyperscale cloud providers, including data center and supply chain strategies
• Strong expertise in supplier ecosystem analysis, including supplier financial health, capacity, pricing, lead times, and technology roadmaps
• Experience analyzing regulatory, public policy, utility, and geopolitical factors impacting global infrastructure supply chains and data center operations
• Advanced capability in strategic analytics and modeling, including demand forecasting, inventory optimization, and commodity procurement models
• Demonstrated ability to influence executive decision-making through data-driven insights and strategic recommendations

Preferred qualifications include:

• Recognized industry expertise through publications, conference speaking, or professional/academic recognition in operations research, supply chain, or market analysis
• Experience supporting both infrastructure strategy and customer acquisition or go-to-market planning
• Exposure to global site development, utilities, or large-scale data center construction ecosystems

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