About the team:
TikTok Business Integrity is committed to ensuring a safe, trusted, and sustainable advertising ecosystem, serving as a core enabler of TikTok's global monetization growth.
The team sits within Global Monetization Product and Technology (GMPT) – Business Integrity – Governance.
We focus on advertising content quality and user experience, driving governance of risks such as misleading claims, vulgar or disturbing content, and other low-quality content.
Our mission is to build a scalable, intelligent, and data-driven risk governance system that achieves the optimal balance between risk control and user/advertiser experience in a highly dynamic global environment.
As we evolve, the team is accelerating toward a more platformized, intelligent, and automated governance system, leveraging AI Agents, machine learning models, and strategy frameworks to enable scalable, global impact.
About the Role
We are looking for a highly analytical and impact-driven Ads Content Risk Strategy Specialist to join our team.
In this role, you will be deeply involved in safeguarding TikTok's advertising ecosystem by identifying and solving key user experience and content quality challenges through data-driven insights and strategy design.
You will operate in a highly complex and global-scale environment, making strategic trade-offs across risk control, user experience, and business growth, while continuously improving the overall health of the advertising ecosystem.
You will also contribute to building the next-generation intelligent governance system, leveraging AI, machine learning models, and automation capabilities to transform governance from experience-driven to intelligence-driven at global scale.
Responsibilities:
Risk Strategy & Metric Ownership
- Define and own key risk metrics, including goal decomposition, trend analysis, and root-cause deep dives, and deliver actionable governance strategies with measurable outcomes.
- Continuously iterate governance strategies across scenarios such as misleading claims, vulgar or disturbing content and other content quality issues to improve ecosystem integrity and user experience.
Data-Driven Strategy Optimization
- Leverage data analysis and experimentation (A/B testing, holdout experiments, etc.) to evaluate strategy effectiveness and drive continuous optimization.
- Build and enhance data-driven decision-making frameworks to improve transparency, interpretability, and stability of governance strategies.
Intelligent Governance & System Building
- Apply machine learning models and AI Agent capabilities to improve risk detection, classification, and enforcement efficiency.
- Drive the evolution of governance systems toward automation, scalability, and intelligence, including mechanism design and process optimization.
Cross-Functional Execution & Strategy Delivery
- Partner closely with Product, Engineering, and Algorithm teams to translate strategies into scalable product features, rule systems, and model requirements.
- Navigate complex trade-offs between risk mitigation, advertiser experience, and platform growth, ensuring optimal overall business outcomes.