Product Cost Analyst

Join Cloudflare's R&D Finance team as a Product Cost Analyst. In this role, you will analyze the costs associated with building, delivering, and scaling Cloudflare's products. You will collaborate with various teams to translate technical resource usage and infrastructure investment into clear product unit economics and actionable financial insights. Additionally, you will improve data and processes behind the analysis, support pricing decisions, and contribute to capital and capacity planning. This is a hands-on individual contributor role that requires strong analytical skills and the ability to work with large datasets.

• Construire et maintenir des modèles de coûts de produits qui traduisent la consommation de ressources en coûts unitaires.
• Collaborer avec les équipes Produit et Ingénierie pour évaluer les nouvelles introductions de produits et quantifier les implications en matière de coûts.
• Développer et valider des analyses d'allocation des coûts partagés avec les partenaires financiers, en distinguant les coûts directs et partagés.

• This is a hands-on individual contributor role for someone who enjoys moving between financial models, operational data and cross-functional problem solving
• Ability to work with large or imperfect datasets, investigate discrepancies, reconcile financial and operational views, and document assumptions and controls
• Bachelor’s degree in Finance, Accounting, Economics, a related quantitative field, or equivalent practical experience
• Evidence of ongoing AI skill development, including prompt and context engineering; ability to evaluate emerging tools and apply them to practical finance problems
• Strong cross-functional collaboration and clear written and verbal communication; comfortable asking questions, challenging assumptions constructively and explaining analysis to different audiences
• Ability to learn technical business models and connect resource usage, infrastructure capacity and product architecture to financial outcomes
• 5+ Years experience in FP&A, strategic finance, cost analysis, business analytics or a related analytical field, with evidence of building financial models and translating data into business recommendations
• Advanced Excel or Google Sheets skills, including the ability to build flexible, driver-based models and test assumptions through sensitivity and scenario analysis
• Understanding of financial statements, cost drivers, gross margin and unit economics, with familiarity with capital expenditures and depreciation
• Demonstrated ability to integrate AI tools into finance or analytical workflows—such as data preparation, reconciliation, cost-model updates or variance analysis—with measurable improvements in cycle time, accuracy or review quality
• Exposure to server or network capital planning, hardware lifecycle economics, utilization analysis or fixed-asset reporting
• Familiarity with planning and enterprise systems such as Anaplan, Oracle or Workday
• This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license
• Experience improving financial systems, allocation processes, data pipelines or forecasting workflows in a matrixed organization
• Familiarity with infrastructure and/or data-center operations and the financial drivers of capacity expansion, such as hardware, power, cooling and deployment lead times; exposure to construction or build-out economics is a plus
• Experience with cloud infrastructure, developer platforms, usage-based businesses, product costing or shared-cost allocations
• Experience applying responsible AI practices to financial analysis, including assessing data-privacy and decision risks, checking for bias or misleading assumptions, validating outputs against source data, and maintaining human review and an auditable record
• Hands-on SQL skills and experience with business intelligence tools; Python or another analytical scripting language for repeatable analysis