Responsibilities

About the team The Risk Governance Team is responsible for perceiving and reducing the prevalence of bad ads, risk management platform enhancement, and AI-assisted governance capabilities. We aim to provide proactive, precise, and scalable operations to preserve TikTok as a safe, positive, and welcoming environment for our users. About the role We are looking for a Risk Strategy & Operations Analyst to design risk control strategies for TikTok Commercial Ads. This role covers content security, behavioral risks, advertiser integrity, and other bottom-line user experience risks, based on ad content, historical data, expert insights, public opinion, legal/regulatory trends, and AI/LLM-powered analysis workflows. The ideal candidate should be able to turn ambiguous risk problems into structured strategies, data-driven insights, and AI-assisted operational solutions. Responsibilities - Interpret, analyze, and assess critical risks, emergency situations, and potential challenges. Develop and implement risk control operational plans while balancing business revenue objectives with effective risk control. - Drive risk metric diagnosis by attributing metric fluctuations, quantifying the differentiation power of risk features, and identifying scalable governance opportunities. - Explore, design, and iterate AI/Agent-assisted operational workflows, including automated risk signal discovery, evidence extraction, case triage, policy reasoning, anomaly monitoring, and strategy recommendation. - Collaborate closely with cross-functional teams to translate governance needs into intelligent risk platforms, AI-assisted tools, processes, and mechanisms. - Define evaluation criteria and feedback loops for AI-enabled governance solutions, including precision, recall, operational efficiency, and business impact. - Accumulate and leverage risk mitigation and security capabilities to continuously improve the accuracy, scalability, and automation level of commercial ads risk governance.

Qualifications

Minimum Qualifications - Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, or a related quantitative field. - 1+ years of experience in risk management within the internet industry, such as content risk, account risk, ads risk, fraud risk, advertiser integrity, or post-conversion risk, with strong risk sensitivity and rapid response capability. - Strong proficiency in data-driven operations and statistical analysis, with hands-on experience using SQL and/or Python to diagnose problems, evaluate strategies, and support decision-making. - Practical understanding of AI/LLM applications, such as prompt engineering, AI-assisted analysis, workflow automation, agent-based tools, or human-in-the-loop review systems. - Ability to break down ambiguous risk problems into structured analytical, operational, and productized solutions. - Excellent communication and coordination skills, with the ability to efficiently drive cross-functional project implementation. - Fluency in both English and Mandarin required: the role involves frequent communication with global teams, clients and stakeholders in English-speaking regions as well as Chinese-speaking markets. Proficiency in Mandarin is essential to effectively engage with Chinese-speaking partners, understand cultural nuances, and navigate business transactions in key markets, ensuring smooth cross-cultural collaboration and market expansion. Preferred Qualifications - Prior experience in business integrity, commercial risk management, ads risk strategy, content safety, platform governance, fraud risk, or trust and safety. - Hands-on experience building or deeply using AI agents, LLM-based workflows, RAG systems, prompt/evaluation frameworks, model-assisted review tools, or operational automation tools. - Experience collaborating with engineering or data science teams to design AI-powered internal tools, risk platforms, decision engines, case investigation systems, or reviewer productivity solutions. - Familiarity with model evaluation, risk taxonomy design, policy reasoning, multimodal content understanding, automated investigation workflows, or large-scale review operations is a strong plus. - Strong ownership and curiosity toward emerging AI capabilities, with the ability to identify where AI can meaningfully improve governance quality, speed, and scalability.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $93600 - $220400 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.