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Finance Manager, MSL FP&A
Job in
Menlo Park, San Mateo County, California, 94029, USA
Listed on 2026-09-12
Listing for:
Meta
Full Time
position Listed on 2026-09-12
Job specializations:
-
Finance & Banking
Corporate Finance, Financial Reporting
Job Description & How to Apply Below
We are looking for a Finance Manager to join the Meta Superintelligence Labs (MSL) Finance team. This role will drive the end-to-end consolidation and FP&A operational processes for Meta's MSL spend, working with finance partners, accounting, and corporate finance to deliver accurate, timely financial reporting and forecasting to senior leadership. This is a high-visibility role working on one of the top priority areas for Meta.
- 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 work streams 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
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