Product Cost Analyst

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Intern...

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution ...

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 e...

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.

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.
Ability to work with large or imperfect datasets, investigate discrepancies, reconcile financial and operational views, and document assumptions and controls.
Understanding of financial statements, cost drivers, gross margin and unit economics, with familiarity with capital expenditures and depreciation.
Ability to learn technical business models and connect resource usage, infrastructure capacity and product architecture to financial outcomes.
Strong cross-functional collaboration and clear written and verbal communication; comfortable asking questions, challenging assumptions constructively and explaining analysis to different audiences.
Evidence of ongoing AI skill development, including prompt and context engineering; ability to evaluate emerging tools and apply them to practical finance problems.
Bachelor’s degree in Finance, Accounting, Economics, a related quantitative field, or equivalent practical experience.
Experience with cloud infrastructure, developer platforms, usage-based businesses, product costing or shared-cost allocations.
Hands-on SQL skills and experience with business intelligence tools; Python or another analytical scripting language for repeatable analysis.
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.
Exposure to server or network capital planning, hardware lifecycle economics, utilization analysis or fixed-asset reporting.
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.
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.
Experience improving financial systems, allocation processes, data pipelines or forecasting workflows in a matrixed organization.
Familiarity with planning and enterprise systems such as Anaplan, Oracle or Workday.