Finance Manager, MSL FP&A

Develop a detailed understanding of the Meta Superintelligence Labs (MSL) org, drivers of MSL growth and roadmaps

Operate with a deep understanding of core FP&A planning principles, processes, and deliverables such as budgeting, forecasting, annual planning, accruals and close, variance analysis, approvals, and reporting

Drive quarterly financial consolidations (reporting), annual budget planning, close and forecast processes end to end. Proactively surface timelines, progress, risks and opportunities to the MSL Finance team

Develop a clear and concise 'MSL' narrative during financial deliverables, stay up to date on business updates and key financial information on an ongoing basis

Serve as first point of contact and liaison to Corporate finance, Headcount planning, Recruiting, HR and Accounting on matters relating to budgets

Identify and drive initiatives to continuously improve, automate, and scale forecasting, reporting, and other financial processes for the MSL org using AI tools or foundational data improvements

Support ad-hoc analytics and reporting

9+ years of experience in FP&A

Experience leading close and/or forecast processes in a large, matrixed organization

Strong analytical skills with the ability to synthesize large volumes of financial data into clear narratives for senior leadership

Ability to prioritize competing workstreams based on close cycle deadlines, impact, and stakeholder needs

Cross-functional communication skills and ability to drive alignment across teams with competing priorities

Advanced proficiency in financial modeling and data analysis tools

Ability to work independently with limited guidance, across multiple time zones with both Finance and key cross functional business partners

Experience preparing materials for VP-level or C-suite reviews

Master's degree in business, finance, accounting, management or related field

Experience with Financial systems (e.g. Essbase, Oracle Financials), dashboard reporting tools (i.e. Tableau) and SQL

Experience in supporting an AI lab or technology company with a focus on AI

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