Product Cost AnalystActive$126K–$174K

Cloudflare
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The opportunity

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul.

What you'll do

  • San Francisco, CA

  • 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.

What they're looking for

  • 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.