Summary:
The Infrastructure Finance team manages Meta's capital and operating expenses for Infrastructure which is one of the largest areas of investment at the company as we invest in advanced AI infrastructure. We focus on using our unique view into the numbers to identify trends and opportunities that are developing within Meta and within related industries. The team is seeking a driven and analytical Finance and Strategy professional to help lead a subset of areas such as modeling, capital allocation and business finance related to Data Centers, Server Hardware and Network Engineering & Optical Fiber capacity. This role will directly work with various other key leads in Finance, Infrastructure, Products, Product Management and Data Science. This role requires understanding and contributing to many facets of a rapidly growing business. You will prioritize high-impact initiatives, make timely decisions with available data, and balance thoroughness with speed of execution.This role carries broad responsibility across financial planning, capital allocation, and strategic decision-making within the finance organization. You will contribute to a finance organization supporting rapidly scaling infrastructure investments. This position will work very closely with teams that are collectively building large-scale Infrastructure to power AI products that are being rolled out to Meta's 3 Billion+ users.
Required Skills:
Finance Manager, Infrastructure Responsibilities:
Lead a team of finance and business operations professionals as an individual contributor or people manager
Drive the financial modeling, analysis, and process for the purposes of long-range planning, budgeting, and ad hoc strategic decisions
Act as the finance, budget, and P&L owner for one of the areas of infrastructure with double-digit billion-dollar capital and operating expenses
Co-author executive-level presentations and documents, including those for the CFO, COO, CEO, and the board related to infrastructure financial investments and allocations
Build business partnerships with leadership across Finance, Infrastructure, Products, Product Management, and Data Science
Build analyses to drive investment decisions, such as return on investment and capital, and operating expenditures for infrastructure
Provide analytical support and develop actionable insights that will influence decision-makers to allocate infrastructure resources more effectively
Help executives gain key insights into spend through analysis and reporting
Help define and implement scalable modeling, financial, and resource-allocation processes to make the business more efficient
Drive process improvements and enhance the current models, tools, systems, and processes
Minimum Qualifications:
Minimum Qualifications:
12+ years of experience working in a leadership role at a top management consulting firm or investment bank with projects focused on the technology and internet sectors
Experience working at a public cloud company, hyperscaler, AI Lab, a company with a large infrastructure footprint
Experience working with detailed financial models and identifying key risks and sensitivities in the @context of capital allocation on a scale of tens of billions of dollars
Experience driving strategic decision-making in ambiguous environments, with experience influencing executive stakeholders
Demonstrated track record of being able to negotiate financially optimal outcomes during conflicts while also building long-term relationships with executives
Analytical problem-solving skills, and having a track record of success in leading projects and developing complex solutions across multiple stakeholders
Experience collaborating effectively across functions and communicating with diverse stakeholders
Experience in managing multiple projects and collaborating with all internal and external stakeholders
Preferred Qualifications:
Preferred Qualifications:
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/@context engineering, agent orchestration) and staying current with emerging AI technologies
A graduate degree (Master's or PhD) in business, finance, or a technically related field
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/@context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation:
$195,000/year to $263,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
