Finance Manager, MSL FP&A

Meta

Menlo Park (CA)

On-site

USD 150,000 - 210,000

Full time

10 days ago
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Job summary

Meta is seeking a Finance Manager to join the Meta Superintelligence Labs (MSL) Finance team in Menlo Park. This role drives end-to-end consolidation and FP&A processes for MSL spend, partnering with finance, accounting, and corporate to deliver timely reports and forecasts to senior leadership.

The ideal candidate has 9+ years in FP&A, experience leading close/forecast in a large organization, advanced modeling, and a track record turning data into executive narratives.

Qualifications

  • 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 cross functional partners.
  • Experience preparing materials for VP-level or C-suite reviews.
  • Experience with AI labs or technology company with a focus on AI.
  • Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
  • Experience adhering to and implementing responsible, ethical AI practices.
  • Demonstrated ongoing AI skill development.

Responsibilities

  • Drive end-to-end consolidation and FP&A processes for MSL spend.
  • Deliver accurate, timely financial reporting and forecasting to senior leadership.
  • Collaborate with finance partners, accounting, and corporate finance to ensure alignment.

Skills

FP&A
Analytical skills
Cross-functional communication
Financial modeling
Data analysis
AI domain knowledge
AI tools integration
Responsible AI practices
AI skill development

Education

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

Tools

SQL
Tableau
Essbase
Oracle Financials

Job description

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 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
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