Finance Manager - AI Labs Growth & Investments (Equity)

Meta

Menlo Park (CA)

On-site

USD 162,000 - 229,000

Full time

7 days ago
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Job summary

Meta Superintelligence Labs is seeking a Finance Manager to support strategic planning, budgeting, forecasting, and long-range financial modeling. You will partner with Leadership and cross-functional teams to evaluate NAScent AI bets and allocate resources across Research, Product, Engineering, and Infrastructure.

The role requires strong analytics, abstract thinking, and the ability to influence executives.

Qualifications

  • 9+ years of experience in FP&A, business strategy or analytics.
  • BA/BS in Business, Economics, Accounting or equivalent.
  • Experience across headcount planning, budgeting, forecasting, and long-range planning.
  • Experience synthesizing strategic insights and problem solving individually or in a group setting.
  • Experience communicating, influencing, and relationship building with business leaders.
  • Experience independently managing workstreams, maintaining accuracy in financial deliverables, and tracking detailed budgets and forecasts.

Responsibilities

  • Support financial planning, budgeting, forecasting and long-range planning for the Meta Superintelligence Labs organization.
  • Create partnerships and own relationships with the Leadership Team and their cross-functional partners.
  • Drive nuanced return on investment and impact frameworks across investment areas.
  • Own day-to-day operational tasks related to budget management.
  • Help define and implement scalable financial processes.

Skills

FP&A experience
Strategic thinking
Influence stakeholders
Headcount planning

Education

BA/BS in Business, Economics, Accounting or equivalent

Tools

SQL
Python
R

Job description

Meta Superintelligence Labs is seeking a Finance Manager to support strategic planning, budgeting, forecasting, and long-range financial modeling. You will partner with Leadership and cross-functional teams to evaluate NAScent AI bets and allocate resources across Research, Product, Engineering, and Infrastructure.

The role requires strong analytics, abstract thinking, and the ability to influence executives.

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