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

Senior Product Manager, AI-Driven Content Safety - TikTok Safety Product Location: San Jose Employment Type: Regular Job Code: A174287B Responsibilities Own trust & safety strategy and product solutions for TikTok’s core business scenarios, driving risk reduction and safety effectiveness across global markets. 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. Define and establish safety metrics, evaluation frameworks, and monitoring systems; continuously optimize risk mitigation effectiveness through data-driven decision making. 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. Drive platform capability building by transforming safety knowledge and operational best practices into reusable products, rule engines, tooling systems, and scalable platform capabilities. Lead complex cross-functional initiatives across Product, Engineering, Algorithm, Data Science, Operations, and Policy teams to deliver scalable trust & safety solutions. Balance safety, compliance, user experience, and business objectives when designing risk management strategies and product mechanisms. Qualifications 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. Job Information The base salary range for this position in the selected city is $185,600 - $396,000 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. Legal & Compliance For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment. #J-18808-Ljbffr