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Senior Product Manager, AI-Driven Content Safety - TikTok Safety Product

TikTok

San Jose, CA · Posted November 13, 2026

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How AI is used in this kind of work

AI use among health and safety engineers, except mining safety engineers and inspectors is little observed so far. Measured exposure for health and safety engineers, except mining safety engineers and inspectors: 0% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

TikTok Platform Responsibilities Business Governance team is responsible for building safe, trustworthy, and scalable governance solutions across TikTok's global ecosystem. As AI technologies continue to reshape content creation and platform interactions, the team leverages large language models, machine learning, and platform governance capabilities to proactively identify, assess, and mitigate emerging risks while maintaining a positive user experience.

The team works closely with Product, Engineering, Algorithm, Data Science, Operations, Trust & Safety, and Policy teams to develop intelligent governance systems and scalable risk management solutions that protect platform integrity and support sustainable business growth.

Responsibilities 1. Own trust & safety strategy and product solutions for TikTok's core business scenarios, driving risk reduction and safety effectiveness across global markets. 2. Build end-to-end risk discovery and mitigation mechanisms by leveraging data insights, user reports, operational feedback, and model-driven signals to identify emerging risks and safety gaps. 3. Define and establish safety metrics, evaluation frameworks, and monitoring systems; continuously optimize risk mitigation effectiveness through data-driven decision making. 4. Design and launch AI-powered safety solutions by incorporating Large Language Models (LLMs), machine learning capabilities, and automated risk detection systems into trust & safety workflows. 5. Drive platform capability building by transforming safety knowledge and operational best practices into reusable products, rule engines, tooling systems, and scalable platform capabilities. 6. Lead complex cross-functional initiatives across Product, Engineering, Algorithm, Data Science, Operations, and Policy teams to deliver scalable trust & safety solutions. 7. Balance safety, compliance, user experience, and business objectives when designing risk management strategies and product mechanisms.

Minimum Qualifications - Proven experience in Product Management, Trust & Safety, Content Integrity, Risk Control, Platform Safety, or related domains. - Strong understanding of the end-to-end safety lifecycle, including risk identification, problem definition, measurement, strategy development, and implementation. - Strong analytical thinking and data-driven decision-making skills, with experience defining KPIs and safety success metrics. - Excellent cross-functional collaboration and stakeholder management skills. - Fluency in written and spoken Chinese is needed to manage stakeholders in China market

Preferred Qualifications - Experience applying Large Language Models (LLMs), Generative AI, Machine Learning, or recommendation systems to risk detection, content understanding, or safety scenarios. - Experience building safety platforms, rule engines, workflow systems, or internal tooling products. - Familiarity with content moderation, integrity, abuse prevention, online safety, or Trust & Safety domains. - Experience leading large-scale cross-functional projects in fast-paced technology environments.