Product Cost Analyst

• We are looking for a Financial Analyst to join our R&D Finance team and help explain what it costs to build, deliver and scale Cloudflare’s products
• You will partner with Product, Engineering, Infrastructure Finance and Pricing to turn technical resource usage and infrastructure investment into clear product unit economics and actionable financial insights
• You will help improve the data and processes behind our analysis, using automation and AI thoughtfully to make recurring work more reliable and scalable
• As the work evolves, there is an opportunity to deepen your ownership of Developer and self-serve product economics
• Build and maintain product cost models that translate compute, storage, bandwidth and AI / inference resource consumption into unit cost-to-serve, with transparent assumptions and documented methodologies
• Partner with Product and Engineering to evaluate new product introductions, architecture changes and shifts in resource usage; quantify cost and margin implications across connected workloads
• Develop and validate shared-cost allocation analyses with Infrastructure Finance and finance data partners, using relevant consumption and capacity drivers. Distinguish direct costs, shared costs and unused capacity, and reconcile product views to underlying financial totals
• Support Pricing with reliable cost inputs and scenario analysis for commercial decisions and quoting workflows. Translate changes in hardware generations, bandwidth rates and product architecture into updated assumptions
• Connect capital investment to product economics by analyzing server costs, deployment timing, useful-life and depreciation assumptions, utilization and capacity across edge, core and accelerated-computing infrastructure, in partnership with Infrastructure Finance and Accounting
• Contribute to capital and capacity planning through demand-versus-capacity scenarios, investment trade-offs and forecast updates. Explain how deployment timing and workload mix affect near-term costs and longer-term unit economics
• Produce decision-ready reporting on product costs, unit economics and relevant margin drivers. Explain actual-versus-plan changes and separate volume, mix, rate, utilization and allocation effects
• Improve finance data and repeatable workflows with finance programs, data and engineering partners. Help validate operational inputs, establish reconciliation checks, and automate recurring analyses to support more frequent forecasting and a faster, more reliable close
• Translate analysis into recommendations that technical and non-technical partners can act on, balancing detail, financial judgment and the needs of a growing product portfolio

Benefits

• Competitive pay: We offer a competitive total rewards package, where every employee is an owner of our stock.
• Take-what-you-need vacation: We encourage employees to find a comfortable work-life balance by taking as many days off as they need while still being able to perform their jobs satisfactorily. (We really mean it!)
• Paid maternity & paternity leave: Our global parental leave policy allows up to sixteen paid weeks of bonding leave time for all qualifying new parents.
• Employee benefits: We offer a comprehensive benefits package including healthcare, life insurance, short- and long-term disability, pension plans in accordance with the market practice in our locations.
• Commuter program: We are flexible about where we work and value connecting at the office. Our commuter benefits program is in place to support team members’ commute to work via public transportation without the extra cost burden.
• Wellbeing: Global offerings that provide mental health, childcare and family forming support to our employees across our offices.

This is a hands-on individual contributor role for someone who enjoys moving between financial models, operational data and cross-functional problem solvingAbility to work with large or imperfect datasets, investigate discrepancies, reconcile financial and operational views, and document assumptions and controlsBachelor’s degree in Finance, Accounting, Economics, a related quantitative field, or equivalent practical experienceEvidence of ongoing AI skill development, including prompt and context engineering; ability to evaluate emerging tools and apply them to practical finance problemsStrong cross-functional collaboration and clear written and verbal communication; comfortable asking questions, challenging assumptions constructively and explaining analysis to different audiencesAbility to learn technical business models and connect resource usage, infrastructure capacity and product architecture to financial outcomes5+ 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 recommendationsAdvanced Excel or Google Sheets skills, including the ability to build flexible, driver-based models and test assumptions through sensitivity and scenario analysisUnderstanding of financial statements, cost drivers, gross margin and unit economics, with familiarity with capital expenditures and depreciationDemonstrated 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 qualityExposure to server or network capital planning, hardware lifecycle economics, utilization analysis or fixed-asset reportingFamiliarity with planning and enterprise systems such as Anaplan, Oracle or WorkdayThis 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 licenseExperience improving financial systems, allocation processes, data pipelines or forecasting workflows in a matrixed organizationFamiliarity 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 plusExperience with cloud infrastructure, developer platforms, usage-based businesses, product costing or shared-cost allocationsExperience 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 recordHands-on SQL skills and experience with business intelligence tools; Python or another analytical scripting language for repeatable analysis

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