Technology Internal Audit Lead: AI & Security

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

ByteDance is seeking an experienced Technology Internal Audit Lead to join the Global Technology Audit team. The role will focus on leading technology audits and risk reviews for TikTok and related products, assessing AI/ML architectures, security controls, and data governance.

The candidate will work with engineering and product teams to strengthen controls and mitigate risk across a fast-paced tech environment.

Qualifications

• 5+ years in Technology Audits, Product Security, or Security Compliance.
• Strong understanding of security fundamentals across cyber domains.
• Proven analytical ability to assess complex technology environments against risk outcomes.
• Excellent problem solving, critical thinking, collaboration and communication.

Responsibilities

• Lead planning and execution of technology audit programs and complex technology control assessments.
• Assess architectures for AI/ML systems, data flow, model training/fine-tuning, serving infrastructure and integration with downstream apps.
• Leverage data analytics to detect risk signals and insights for AI/ML models.
• Review controls for data quality, privacy, security, access management, safety testing, hallucination mitigation, evaluation metrics, red-teaming and output monitoring.
• Develop practical, risk-based recommendations addressing root causes across product, engineering, regulatory, and business needs.
• Collaborate with engineers and product teams to advise on design and implementation of technology solutions.
• Ensure overall QA of audit work and seek continual process improvements.

Skills

Technology audits

Security fundamentals

Analytical ability

Problem solving

Job description

ByteDance is seeking an experienced Technology Internal Audit Lead to join the Global Technology Audit team. The role will focus on leading technology audits and risk reviews for TikTok and related products, assessing AI/ML architectures, security controls, and data governance.

The candidate will work with engineering and product teams to strengthen controls and mitigate risk across a fast-paced tech environment.