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.
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 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 dollars in 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 on 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
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 Bachelor's degree in a business, finance, or technically related field Experience working at a public cloud company, hyperscaler, AI Lab, a company with a large infrastructure footprint Experience in leading and developing teams 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 Strategic thinker with experience driving 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 A graduate degree or PhD in a business, finance, or technically related field Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)