Internal Audit Manager, Product Risk Compliance

Meta; Menlo Park (CA); Hybrid; USD 200,000 - 280,000; Full time

Job summary

Meta's Internal Audit team is seeking an experienced audit professional to lead product risk and compliance engagements across Meta's consumer and enterprise products. You will evaluate controls across product development lifecycles, privacy frameworks, and regulatory obligations, partnering with product, legal, privacy and compliance teams to drive improvements.

The role requires running AI-assisted audits, using data analytics and AI-enabled workflows to enhance coverage, testing efficiency

Qualifications

• 8+ years of audit, compliance, or risk management experience.
• Experience designing risk-based audit programs for product development, compliance, or data governance.

Responsibilities

• Lead product risk and compliance audit engagements across Meta’s product portfolio.
• Evaluate design and effectiveness of controls in product development, privacy, and regulatory areas.
• Partner with product, legal, privacy, and compliance teams to drive improvements.
• Lead AI-assisted audit engagements and leverage data analytics to improve coverage and efficiency.

Skills

Audit experience

Risk management

Data analytics

AI tools

Cross-functional collaboration

Executive communication

AI governance

Cybersecurity

Privacy frameworks

Regulatory compliance

AI in auditing

Education

Bachelor’s degree in MIS/Accounting/Business/CS/Engineering/Data Science

Tools

AI tools

Data analytics techniques

Job description

Meta's Internal Audit team is seeking an experienced audit professional to lead product risk and compliance audit engagements across Meta's portfolio of consumer and enterprise products.

In this role, you will evaluate the design and effectiveness of controls governing product development lifecycles, regulatory compliance obligations, privacy frameworks, and risk management practices embedded within Meta's product organizations.

You will partner with cross-functional stakeholders across product, legal, privacy, and compliance teams to provide independent assurance and drive meaningful improvements to how Meta manages product-related risks at scale.

You will be successful in this role if you can run AI-assisted audit engagements and have the ability to leverage data analytics and AI-integrated workflows to enhance audit coverage, improve testing efficiency, and surface risk signals across large product datasets.

• 8+ years of audit, compliance, or risk management experience, including experience conducting audits of product risk, regulatory compliance, or technology governance at a Big 4 firm or large internal audit function
• Bachelor’s degree in Management Information Systems, Accounting, Business, Computer Science, Engineering, Data Science, or a related field
• Experience in designing and executing risk-based audit programs that assess controls over product development, compliance obligations, or data governance frameworks
• Experience communicating audit findings and risk assessments in writing to technical and non-technical stakeholders, including executive leadership
• Experience leading cross-functional audit engagements and managing work streams across multiple concurrent projects with competing priorities
• Experience applying data analytics techniques to audit testing, risk identification, or control evaluation
• Demonstrated background in both operational and compliance audits that include one or more of the following: technology, cybersecurity, resiliency, third-party risk management, payment compliance, and privacy
• Demonstrated experience leading small audit teams
• Demonstrated ability to integrate AI tools to redesign audit workflows and deliver measurable improvements in audit quality or efficiency, including experience with responsible and ethical AI practices
• Experience auditing consumer technology companies, platform businesses, or organizations subject to complex product-related regulatory requirements such as privacy, content, or consumer protection regulations
• Experience leveraging data analytics and artificial intelligence to streamline audit execution
• Experience building and maintaining partnerships with cross-functional stakeholders to align on audit outcomes and drive actionable improvements
• 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)
• Exposure to cybersecurity frameworks such as ISO 27001/27002/NIST, AI auditing or regulatory frameworks or agile auditing practices
• Experience in navigating and influencing within highly matrixed organizations, collaborating across departments
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
• Familiarity with privacy compliance frameworks, AI governance practices, or product accountability programs relevant to large-scale consumer products
• Expertise in auditing AI, technology, complex data pipelines, and advanced computing systems
• At least one relevant professional certification, such as CIA, CISA, CIPP, AIGP, or CCEP
• Functional knowledge of AI (traditional and generative AI), data science, engineering systems, or emerging technologies
• Experience auditing within technology companies or in complex IT environments