TikTok Shop - Strategy Product Manager Anti-Fraud Solutions

Responsibilities About this Team: The Risk Control & Security (RCS) Creator Risk team at TikTok Shop is committed to maintaining a safe, fair, and trusted environment for our e-commerce Creator community. Our mission is to proactively identify and mitigate bad actor creators who attempt to gain competitive advantages through unfair means, such as posting pirated content, traffic manipulation, synthetic livestreams, order collusion, or incentives abuse. We own the risk analysis and mitigation for the entire lifecycle of the e-commerce Creator experience. Responsibilities: - Technical Aptitude: Ability to read code, analyze technical diagrams, and understand complex systems. - Analytical Skills: Strong root-cause analysis and data capabilities (e.g., SQL, Python). - Product Management: Solutions-oriented mindset with the ability to effectively communicate and gain buy-in from stakeholders. - Clear Communication: Strong written and verbal skills, with the ability to engage both business leaders and technical teams at varying levels. - Resilience: Persistent and solution-focused, even in the face of repeated setbacks. - Risk Control Strategy: Develop forward-looking risk control strategies based on user behavior, content, and data to improve product safety. - Risk Governance: Build and enhance systems for risk perception, identification, intervention, and impact measurement, while designing scalable risk control products. - Prioritization: Balance trade-offs across seller, user, and creator experiences, while ensuring platform performance and protection. - Cross-functional Collaboration: Work with business, operations, tech, and security/risk teams to solve risk issues at scale. Qualifications Minimum Qualifications: - Bachelor's degree in Computer Science, Business Analytics, Mathematics, Statistics, or a related field. - 0-3 years of experience in Anti-fraud, Financial Services, Risk Management, or Trust & Safety. - Proficiency in SQL and data analysis; strong analytical and quantitative skills to support data-driven decisions. - Proven ability to deliver results and drive innovation in fast-paced environments. - Strong understanding of fraud patterns, key control points, and excellent verbal and written communication skills. Preferred Qualifications: - Experience in the e-commerce or tech industry. - Strong understanding of statistics or machine learning algorithms. Job Information [For Pay Transparency] Compensation Description (annually) The base salary range for this position in the selected city is $116242 - $176320 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. 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: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.