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TikTok

Risk Strategy & Operations Manager

SingaporeOperationsPosted Jun 11, 2026

Apply on company site View full job

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 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.

Qualifications

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.

Responsibilities

Qualifications

Qualifications

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.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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