Finance Manager, Infrastructure Supply Chain

Meta•Menlo Park, CA

2d•$149,000 - $212,000

About The Position

Meta’s Finance & Business Planning team oversees the company’s budget and supports data-informed decisions. Within that organization, the Infrastructure FBP team supports investments in infrastructure that enable future technologies and Meta products. The Finance Manager owns planning and analysis for a portfolio of Compute & Infrastructure activities, connecting day-to-day financial performance with longer-term business decisions. This hands-on individual contributor role spans core FP&A and strategic finance, including budgeting, forecasting, investment analysis, and business decision support. The Finance Manager builds financial models, translates complex operating inputs into recommendations, develops depth in their coverage, and helps establish repeatable processes and practical uses of AI and automation. Infrastructure experience is helpful, but candidates from other industries are welcome if they can learn a complex business and apply strong financial fundamentals.

Requirements

10 or more years of professional experience in FP&A, strategic finance, business finance, business strategy, strategy consulting, investment banking, or a related field.
Bachelor’s degree in Finance, Business, Economics, Mathematics, Statistics, or a related field.
Experience independently owning planning, forecasting, or financial analysis workstreams and managing multiple priorities against high-level goals.
Experience building spreadsheet-based financial models and translating open-ended business questions into structured analyses, scenarios, and recommendations.
Understanding of financial statements and the relationship between operating performance, investment decisions, and cash flow.
Experience combining and validating data from multiple sources, identifying financial or operational drivers, and explaining variances.
Experience building relationships with business partners and influencing decisions across functions.
Experience communicating financial analysis and recommendations through clear written documents and presentations.
Ability to work independently with limited guidance across multiple time zones with finance and key cross-functional business partners.

Nice To Haves

Experience with long-range planning, capital allocation, commercial analysis, or evaluating business cases under uncertainty.
Experience preparing materials for VP-level or C-suite reviews.
Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.
Master’s degree in business, finance, accounting, management, or a related field.
Experience in infrastructure, cloud services, hardware, manufacturing, or another capital-intensive or operationally complex business.
Experience applying AI tools or automation to financial analysis, reporting, or planning, with attention to output quality.
Experience in a high-growth or technology-focused business, particularly supporting engineering, product, or operations teams.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Experience with financial systems such as Essbase or Oracle Financials, dashboard reporting tools such as Tableau, and SQL.

Responsibilities

Own annual planning, forecasting, and financial performance reviews for assigned areas within the Infrastructure portfolio, translating business priorities into plans, assumptions, and deliverables.
Apply core FP&A planning principles and processes, including budgeting, forecasting, annual planning, accruals and close, variance analysis, approvals, and reporting.
Build and maintain driver-based financial models linking operating activity to expense, capital investment, and cash flow as relevant; reconcile inputs and explain changes from prior plans and actual results.
Evaluate investment proposals, business cases, and commercial opportunities using scenario analysis, return on investment, unit economics, and total cost of ownership as appropriate.
Identify risks, opportunities, and resource trade-offs, and develop actionable recommendations.
Partner with business leaders and cross-functional teams to constructively challenge assumptions, align on inputs, and support decisions through execution.
Write concise decision memos and financial narratives explaining recommendations, supporting evidence, uncertainties, and next steps; present findings to finance and business stakeholders.
Improve planning, reporting, and analytical processes, partnering with accounting and data teams to strengthen reconciliations, data quality, and traceability.
Use AI and automation to reduce manual work and improve analysis while validating outputs and protecting company data.
Share models, document business context, and coach teammates to extend knowledge and coverage beyond a single owner.