Technology Internal Audit Lead

Responsibilities

Internal Audit at TikTok gives you a global vantage point across a diverse and fast-evolving portfolio of businesses, products, technologies, and markets. Our teams work across various businesses, technologies, data, and risks to connect the dots on complex issues and deliver independent insights with real-world impact at global scale. We are pioneering innovative assurance delivery models by embedding core capabilities including data analytics, automation, and AI into how we perform audits and identify impactful observations. Our high-performing, collaborative teams have direct access to leadership and value open communication and the exchange of ideas. People are encouraged to challenge existing approaches, help shape how the function evolves, and build breadth and expertise.

We are looking for an experienced Technology Internal Audit Lead to join the Global Technology Audit team. The role will primarily support TikTok and other products operating outside China and will be responsible for leading technology audits and risk reviews. The individual will be part of the Global Technology Audit team and develop innovative assurance methods to impact and influence positive business outcomes across products such as TikTok, TikTok Shop and Dola.

Responsibilities:
- Technology Audit Delivery: Lead planning and execution of technology audit programs and complex technology control assessments: Products powered by LLMs, Information Security, Infrastructure, Privacy. Assess technical architectures for AI/ML systems, focusing on data flow, model training & fine-tuning processes, model serving infrastructure, and integration with downstream applications.
- Advanced Data Analytics: Leverage data analytics to detect risk signals and unearth insights for AI/ML models. Review controls for data quality, privacy, security, access management, safety testing, hallucination mitigation, evaluation metrics, red-teaming procedures, and output monitoring.
- Technology Risk Assessment: Develop practical, risk-based recommendations that address root causes while considering product, engineering, regulatory, and business requirements. Ability to grasp complex, home grown technology stack, comfortable speaking with engineers and product teams.
- Stakeholder Relationships: Develop and maintain collaborative working relationships with management, understand the business to provide value-added services, and establish credibility as a management consultant and internal controls resource. Partner with engineering and product teams to advise on design and implementation of technology solutions.
- Quality Assurance: Ensure the overall quality and consistency of audit work, adhering to department and professional standards. Continuously seek opportunities for audit process improvement.

Qualifications

Minimum Qualifications:
- 5+ years of relevant experience in Technology Audits, Product Security, Security Engineering or Security Compliance preferably within the technology sector (Social Media, Content Management, FinTech etc.), and/or consulting firms. Proven ability to work in a fast-paced environment with a product-centric culture.
- Strong understanding of security fundamentals across various cyber domains: IAM, applied cryptography, key management systems, data security, application security, web security, security protocols, API Design, threat intelligence, network security, hardware security, vulnerability management, etc.
- Proven analytical ability to assess complex technology environments against risk assessment outcomes, industry best practices, internal standards and external regulatory requirements.
- Excellent problem-solving, critical thinking, collaboration and communication skills combined with the ability to provide a credible technical challenge to the business.

Preferred Qualifications:
- Deep understanding of LLMs, ML pipelines, model lifecycle management, and data engineering architectures.
- Experience working in a fast-paced, global technology company or rapidly scaling environment across different time zones.
- Solid background and experience working with one or more of the following areas:
- LLMs or ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
- Common application and infrastructure security vulnerabilities and mitigations (OWASP Top 10, CWE 25)
- Source code and DevOps management tools (e.g., GitHub, Bitbucket)
- SaaS and IaaS cloud platforms (e.g., AWS, Azure, GCP)
- Professional certifications such as CISSP, CISM, GIAC, CCNA, CISA, CRISC, or CIA.
- Be able to handle ambiguity and collaborate with a global team.
- Passion for emerging technologies, products and standards.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $108000 - $208800 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

Internal Audit at TikTok gives you a global vantage point across a diverse and fast-evolving portfolio of businesses, products, technologies, and markets. Our teams work across various businesses, technologies, data, and risks to connect the dots on complex issues and deliver independent insights with real-world impact at global scale. We are pioneering innovative assurance delivery models by embedding core capabilities including data analytics, automation, and AI into how we perform audits and identify impactful observations. Our high-performing, collaborative teams have direct access to leadership and value open communication and the exchange of ideas. People are encouraged to challenge existing approaches, help shape how the function evolves, and build breadth and expertise.

We are looking for an experienced Technology Internal Audit Lead to join the Global Technology Audit team. The role will primarily support TikTok and other products operating outside China and will be responsible for leading technology audits and risk reviews. The individual will be part of the Global Technology Audit team and develop innovative assurance methods to impact and influence positive business outcomes across products such as TikTok, TikTok Shop and Dola.

Responsibilities:
- Technology Audit Delivery: Lead planning and execution of technology audit programs and complex technology control assessments: Products powered by LLMs, Information Security, Infrastructure, Privacy. Assess technical architectures for AI/ML systems, focusing on data flow, model training & fine-tuning processes, model serving infrastructure, and integration with downstream applications.
- Advanced Data Analytics: Leverage data analytics to detect risk signals and unearth insights for AI/ML models. Review controls for data quality, privacy, security, access management, safety testing, hallucination mitigation, evaluation metrics, red-teaming procedures, and output monitoring.
- Technology Risk Assessment: Develop practical, risk-based recommendations that address root causes while considering product, engineering, regulatory, and business requirements. Ability to grasp complex, home grown technology stack, comfortable speaking with engineers and product teams.
- Stakeholder Relationships: Develop and maintain collaborative working relationships with management, understand the business to provide value-added services, and establish credibility as a management consultant and internal controls resource. Partner with engineering and product teams to advise on design and implementation of technology solutions.
- Quality Assurance: Ensure the overall quality and consistency of audit work, adhering to department and professional standards. Continuously seek opportunities for audit process improvement.

Qualifications

Qualifications

Minimum Qualifications:
- 5+ years of relevant experience in Technology Audits, Product Security, Security Engineering or Security Compliance preferably within the technology sector (Social Media, Content Management, FinTech etc.), and/or consulting firms. Proven ability to work in a fast-paced environment with a product-centric culture.
- Strong understanding of security fundamentals across various cyber domains: IAM, applied cryptography, key management systems, data security, application security, web security, security protocols, API Design, threat intelligence, network security, hardware security, vulnerability management, etc.
- Proven analytical ability to assess complex technology environments against risk assessment outcomes, industry best practices, internal standards and external regulatory requirements.
- Excellent problem-solving, critical thinking, collaboration and communication skills combined with the ability to provide a credible technical challenge to the business.

Preferred Qualifications:
- Deep understanding of LLMs, ML pipelines, model lifecycle management, and data engineering architectures.
- Experience working in a fast-paced, global technology company or rapidly scaling environment across different time zones.
- Solid background and experience working with one or more of the following areas:
- LLMs or ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
- Common application and infrastructure security vulnerabilities and mitigations (OWASP Top 10, CWE 25)
- Source code and DevOps management tools (e.g., GitHub, Bitbucket)
- SaaS and IaaS cloud platforms (e.g., AWS, Azure, GCP)
- Professional certifications such as CISSP, CISM, GIAC, CCNA, CISA, CRISC, or CIA.
- Be able to handle ambiguity and collaborate with a global team.
- Passion for emerging technologies, products and standards.