Product Cost Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid in Austin, TX; San Francisco, CA; Denver, CO; or Seattle, WA. Applicants progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
Estimated annual salary: $126,000–$174,000 for San Francisco Bay Area hires; $121,000–$166,000 for Seattle hires; $110,000–$151,000 for Colorado hires. Compensation may vary by work location.
Company
operates a large global network that protects and accelerates Internet applications for individual users, SMBs, and Fortune 500 companies.
What you will do
- Build and maintain product cost models translating compute, storage, bandwidth, and AI/inference usage into unit cost-to-serve.
- Partner with Product, Engineering, Infrastructure Finance, Pricing, and Accounting to assess product launches, architecture changes, resource usage, margins, and capital investment.
- Develop shared-cost allocation analyses, distinguish direct costs, shared costs, and unused capacity, and reconcile product views with financial totals.
- Support pricing, quoting, capital planning, capacity planning, and forecasting through scenario analysis involving hardware, bandwidth, deployment timing, utilization, and workload mix.
- Produce reporting on product costs, unit economics, margin drivers, and actual-versus-plan variances.
- Improve finance data, reconciliation controls, and recurring workflows through automation and AI, and translate analysis into actionable recommendations.
Requirements
- 5+ years of experience in FP&A, strategic finance, cost analysis, business analytics, or a related analytical field, with experience building financial models and translating data into business recommendations.
- Advanced Excel or Google Sheets skills, including flexible driver-based models and 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, unit economics, 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; ability to ask questions, challenge assumptions constructively, and explain analysis to different audiences.
- Evidence of ongoing AI skill development, including prompt and context engineering, and 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.
Nice to have
- Experience with cloud infrastructure, developer platforms, usage-based businesses, product costing, or shared-cost allocations.
- Hands-on SQL and business intelligence experience; Python or another analytical scripting language for repeatable analysis.
- Familiarity with infrastructure or data-center operations and the financial drivers of capacity expansion, including hardware, power, cooling, deployment lead times, construction, or build-out economics.
- Experience with server or network capital planning, hardware lifecycle economics, utilization analysis, or fixed-asset reporting.
- Experience integrating AI tools into finance or analytical workflows and applying responsible AI practices, including privacy and decision-risk assessment, bias checks, source-data validation, human review, and auditability.
- Experience improving financial systems, allocation processes, data pipelines, or forecasting workflows in a matrixed organization.
- Familiarity with Anaplan, Oracle, or Workday.
Culture & Benefits
- Builder-oriented culture focused on curiosity, iteration, practical problem solving, and using AI to improve workflows.
- Medical, dental, and vision insurance; flexible spending and commuter spending accounts; fertility and family-forming benefits.
- On-demand mental health support, employee assistance, and global travel medical insurance.
- Short- and long-term disability insurance, life and accident insurance, 401(k), and employee stock participation plan.
- Flexible paid time off covering vacation and sick leave, plus parental, pregnancy health, medical, and bereavement leave programs.
- Equity plan eligibility and an equal opportunity, inclusive workplace with reasonable accommodations available.
Hiring process
- Applicants who reach the offer stage may be asked to attend an in-person interview at a office or hub.
- An offer may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
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