产品运营经理

We are committed to governance of the TikTok monetization ecosystem, covering core scenarios such as the Creator Rewards Program and Subscription.

Through risk definition, risk identification, governance actions, and creator notification, we protect the rights and interests of high-quality creators.

The team values data-driven decision-making, cross-functional collaboration, and effective implementation of policy.

We welcome partners with sound judgment, strong execution, and a sense of ownership to join us in building a healthier creator monetization ecosystem.

- Responsible for TikTok monetization ecosystem human moderation operations.

- Use data such as productivity, QA results, appeals, and false negatives to identify and optimize labellers’ key pain points in rule understanding, operating efficiency, risk judgment, and tool usage.

- Combine AI model capacity to drive the implementation of AI capabilities in moderation, rule explanation, risk alerts, and case comparison to reduce labellers’ judgment cost.

- Collaborate with Product Management, Engineering, Algorithm, Policy, QA, Training, and Regional Operations teams to drive platform tools, AI capabilities, and human review workflow optimization projects to be delivered on schedule.

- Develop a deep understanding of business direction, and use data analysis and thematic strategy reports to analyze the business.

- Explore the application of AI models in human review policies, use large language models to support risk assessment, and optimize review efficiency.

- Solid data analysis skills, with the ability to work with productivity, QA, appeal, and false-negative metrics to diagnose operational pain points, build thematic/strategy reports, and translate findings into actionable improvements

- Proficiency in Chinese and English is required to collaborate with global partners and key stakeholders based in Mandarin-speaking markets, where Mandarin is a primary working language

- Strong cross-cultural understanding, persuasion, organizational influence, and a results-oriented mindset.

- Able to connect multiple business processes, drive project implementation, and achieve business goals.

- Highly self-driven and resilient in fast-paced environments, with the ability to coordinate cross-functional resources efficiently.

- Strong interest in and practical understanding of AI model applications in operations, including the ability to identify high-value use cases for large language models in risk assessment, rule explanation, and review efficiency, and to partner with Algorithm/Engineering teams to land these capabilities.

- Prior experience in content moderation, trust & safety, creator ecosystem governance, or BPO/labeller operations is a strong plus

- Familiarity with quality assurance frameworks, moderation policy design, or human-in-the-loop review workflows is preferred.