About this role
Meta is seeking an experienced Internal Audit Manager to lead independent, risk-based audits across Meta's Central Integrity, Global Operations, and Family of Apps (FOA) organizations. The ideal candidate has hands-on experience assessing product, engineering, operational, and regulatory risks across areas such as content standards and enforcement, machine learning and large language models, data pipelines, and key metrics. The candidate will lead complex audits end to end, combining audit methodology with AI and automation to work faster and produce clear, high-quality results.
Responsibilities
Develop audit project plans (timelines, budgets, milestones, status reporting, and communication plans), and lead audit scoping, fieldwork, and reporting with limited oversight
Oversee audit work performed by co-sourcing partners and provide guidance on quality, timelines, and deliverables
Write audit reports, findings, and other deliverables that follow established reporting standards
Work with stakeholders to agree on remediation plans and due dates, and perform validation testing after remediation actions are complete
Run quarterly risk assessments for assigned coverage areas and contribute to the annual enterprise-wide risk assessment
Build and maintain stakeholder relationships across team leads, directors, and cross-functional partners through regular check-ins, information sharing, and risk-focused discussions
Develop subject matter expertise in content standards, operations, and product areas, and stay current on new regulatory and industry developments
Streamline testing and documentation by applying automation and improved processes in the day-to-day audit work
Identify opportunities to improve audit processes and tools
Qualifications
B.A. or B.S. degree in Computer Science, Management Information Systems, Finance, Business Administration, or a related field
Technical acumen, project management skills, and experience communicating audit findings, risks, and recommendations in writing and in presentations to technical and non-technical stakeholders
Experience managing time-sensitive projects to completion while balancing evolving priorities
Demonstrated experience leveraging AI and data analytics tools such as large language models, AI assistants, and code copilots to analyze large datasets, accelerate workflows, and enhance work quality
Critical thinking skills to evaluate, validate, and refine AI-assisted work Experience in data analytics, content standards, or regulatory compliance
Expertise in auditing AI systems, technology controls, and complex data pipelines
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
6+ years of audit experience at a Big 4 firm or in internal audit functions within technology companies or in complex IT environments
Certified Internal Auditor (CIA) and/or Certified Information Systems Auditor (CISA)
Demonstrated ongoing AI skill development, including prompt engineering and use of AI agents, and continued learning on emerging AI technologies
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Proven ability to apply AI tools to improve or redesign workflows and deliver measurable impact such as efficiency gains and quality improvements