Executive Administrative Partner

Meta Meta · Big Tech · New York, NY +1

Executive Administrative Partner to support Directors at Meta, focusing on complex calendaring, travel planning, and relationship building. Requires 4+ years of experience in administrative support, calendar management, expense reporting, and travel coordination. The role also emphasizes integrating AI tools to optimize workflows and adhering to ethical AI practices.

What you'd actually do

  1. Coordinate internal and external meetings
  2. Manage complex calendar set-up and movement
  3. Prepare expense reports and purchase requisitions
  4. Coordinate both domestic and international travel arrangements
  5. Organize space planning, strategic offsite events and team all-hands meetings

Skills

Required

  • 4+ years of relevant experience providing administrative support to 1 or more executives
  • 4+ years of relevant calendar management and expense report management experience for 1 or more executives
  • Experience with Microsoft Office and Google Suite
  • Experience prioritizing multiple projects
  • 4+ years of relevant experience coordinating travel logistics on behalf of 1 or more executives
  • Experience organizing offsite events and team building activities
  • Experience supporting cross-regional teams
  • Experience ensuring confidentiality and discretion in all partnerships
  • Experience multitasking and changing direction quickly

Nice to have

  • 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

What the JD emphasized

  • 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