Risk Strategy & Operations Manager

关于这个机会

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 Manager/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.

任职要求

Minimum Qualification(s): - 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. - A high level of Mandarin proficiency (written and spoken) is required to support CNOB markets. This role involves complex communication and collaboration with external sales teams and clients based in Mandarin-speaking markets, where Mandarin is the primary working language Preferred Qualification(s): - 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.

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