Administrative Partner

Meta is seeking an experienced Administrative Partner to support multiple data center leaders. The person in this role will need to be a masterful problem-solver and an organizational force given heavy calendaring, meeting management, and complex travel planning. Additionally, the ideal candidate will have exceptional communication skills and will be resourceful in building relationships across the data center teams.

This position is full-time and is eligible for hybrid work (up to two days per week remote).

Responsibilities
Coordinate internal and external meetings for up to three leaders
* Manage hectic and complex calendars
* Facilitate site meetings through agenda collection, action item tracking, and note taking
* Collaborate on arranging and structuring senior leadership visits to the site
* Prepare expense reports and purchase requisitions
* Coordinate travel arrangements
* Organize space planning, strategic offsite events, and team all-hands meetings
* Plan and execute team engagement events
* Build cross-functional relationships between teams
* Be a culture carrier for the local data center
* Participate in the global data center admin community
* General administrative duties

Qualifications
3+ years of relevant experience providing administrative support to 1 or more executives
* 3+ years of relevant experience coordinating travel logistics on behalf of 1 or more executives
* 3+ years of relevant calendar management and expense report management experience for 1 or more executives
* Experience balancing competing priorities
* Experience with Microsoft Office and Google Suite BA/BS
* Event planning experience
* Experience collaborating with and partnering closely with other administrative professionals and key cross functional partners
* Experience maintaining confidentiality and discretion in all partnerships
* Experience in prioritizing multiple assignments quickly
* Experience in multitasking and changing direction quickly
* 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
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)