Responsibilities
Deeply understand the architecture and integration points of Meta's community support processes, products, and policies, including Community Notes and Third-Party Fact-Checking
• Help review and implement content policies that take into consideration the needs of a global community
• Work with cross-functional partners to assess support requirements for new product launches and program changes
• Analyze complex support and review flows and provide recommendations for process, policy, and product improvements to develop scalable solutions
• Manage global and cross-functional projects to improve user experience while partnering with teams such as Policy, Data Science, Product, Engineering, Operations, and external vendors
• Support elections and critical-event readiness, including planning, monitoring, and rapid response during high-priority periods
• Drive strategy for execution, planning, measuring progress, and sharing results
• Identify actionable insights, suggest recommendations, and influence team strategy through effective communication
• Design, test and optimize prompts for AI models, stay updated on AI advancements, and create technical documentation
Minimum Qualifications
• Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 4+ years experience in an operational/strategic role within a technology, policy, analytical, or operations field, or equivalent consulting experience
• Experience resolving, communicating, and presenting issues and insights to both technical and non-technical audiences
• Demonstrated experience problem-solving with consistent execution and the ability to influence and coordinate with cross-functional teams
• Analytically driven, with experience understanding nuances and patterns within large data sets
• Experience with SQL and data visualization
Preferred Qualifications
• Experience working with global teams and diverse communities
• Experience in Integrity, misinformation, elections, or content-policy operations
• 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
• Experience managing vendor relationships
