Internal Audit Manager

Meta Meta · Big Tech · Menlo Park, CA

Meta's Internal Audit Manager role focuses on leveraging technology, including AI tools, to conduct high-impact audits of Meta's products and infrastructure. The role involves leading audit engagements, developing scopes and test plans, executing technology-focused audits, and presenting findings to executives. While the role heavily involves auditing AI and using AI tools to enhance audit processes, the core function is audit management and execution, not the direct development or deployment of AI models or systems.

What you'd actually do

  1. Develop comprehensive audit scopes, test plans, and risk assessments
  2. Lead end-to-end audit engagements from planning through reporting and follow-up
  3. Execute technology focused audits covering Meta’s products and core technology infrastructure stack
  4. Leverage analytics tools (e.g., SQL/BI platforms and dashboards) to efficiently conduct data analysis, generate reports, and deliver timely, actionable insights to stakeholders
  5. Manage small audit teams consisting of contingent workers

Skills

Required

  • 7+ years of audit experience at Big 4 accounting firms and/or medium-to-large internal audit functions
  • Demonstrated background in both operational and IT audits that includes one or more of the following: technology, cybersecurity, resiliency, third-party risk management, privacy
  • Demonstrated experience leading small audit teams
  • Experience auditing within technology companies or complex IT environments
  • Experience leveraging data analytics and Artificial Intelligence to streamline audit execution
  • Expertise in auditing AI, technology, complex data pipelines, and advanced computing systems
  • Functional knowledge of Artificial Intelligence (traditional and Gen AI), data science, engineering systems, or emerging technologies
  • 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
  • At least one relevant professional certification ( CISA, CIA, or CISSP)

Nice to have

  • Bachelor’s degree in Management Information Systems, Accounting, Business, Computer Science, Engineering, Data Science, or a related field
  • Experience of navigating and influencing within highly matrixed organizations, collaborating across departments
  • Exposure to cybersecurity frameworks such as ISO 27001/27002/NIST, AI auditing or regulatory frameworks or agile auditing practices

What the JD emphasized

  • Experience auditing within technology companies or complex IT environments
  • Experience leveraging data analytics and Artificial Intelligence to streamline audit execution
  • Experience of navigating and influencing within highly matrixed organizations, collaborating across departments
  • Expertise in auditing AI, technology, complex data pipelines, and advanced computing systems
  • Functional knowledge of Artificial Intelligence (traditional and Gen AI), data science, engineering systems, or emerging technologies
  • 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