About The Position

Meta's Content Integrity Operations Team works to protect people across Meta's platforms by building scalable, effective systems to detect and address integrity issues in organic content. The Organic Content Integrity Operations team sits at the intersection of policy, technology, and human review, addressing complex and sensitive content challenges. The Project Manager helps drive operational excellence in organic content integrity enforcement, partners with cross-functional teams, and contributes to building systems that keep communities safe at scale. The role involves exposure to potentially graphic and objectionable content, including images, videos, audio, offensive or derogatory language, graphic violence, self-injury, and other disturbing material.

Requirements

  • Currently has, or is in the process of obtaining, a Bachelor's degree in a directly related field, or equivalent practical experience; the degree must be completed before joining Meta.
  • At least 2 years of experience in operations, project management, trust and safety, management consulting, or an equivalent environment.
  • Experience managing or contributing to cross-functional projects involving multiple stakeholders and competing priorities.
  • Experience working on ambiguous problems requiring structured thinking, situational analysis, and clear written communication.
  • Experience communicating findings and project updates to technical and non-technical audiences.
  • Willingness to work with potentially graphic and objectionable content as part of organic content integrity enforcement operations.

Nice To Haves

  • Background in speech problems, trust and safety, or content moderation at scale.
  • Familiarity with content moderation, trust and safety operations, or organic content integrity enforcement at scale.
  • Familiarity with generative AI products, LLM applications, or AI-assisted content enforcement workflows.
  • Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
  • Experience using data analysis tools such as SQL or Python to investigate operational trends and support decision-making.
  • Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.
  • Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.

Responsibilities

  • Support day-to-day organic content integrity operations by tracking project milestones, identifying blockers, and coordinating across enforcement, policy, and product teams.
  • Assist in diagnosing enforcement gaps and quality issues by analyzing operational data and escalation patterns to surface actionable insights.
  • Help build and maintain feedback loops between content review operations and upstream detection and policy enforcement systems.
  • Coordinate cross-functional projects involving Trust and Safety, Data Science, Engineering, Legal, and Policy stakeholders.
  • Document operational workflows, decision frameworks, and process changes to support consistency and scalability across organic content integrity enforcement programs.
  • Contribute to the development and testing of tooling improvements that support content reviewers and enforcement accuracy.
  • Analyze trends in organic content integrity violations and adversarial tactics to inform operational prioritization and escalation protocols.
  • Support implementation of AI-assisted enforcement solutions, including evaluating output quality and flagging edge cases for policy review.
  • Prepare clear written summaries, status updates, and project documentation for operations leads, technical partners, and other audiences.

Benefits

  • Bonus
  • Equity
  • Benefits
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