Anti-Fraud Strategy Product Manager Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/ MS)
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About our team TikTok Shop's Governance and Experience (GNE) team is a global, mission-driven group dedicated to building a safe, fair, and seamless marketplace for users, sellers, and creators. Behind every transaction, we shape trust policies, engineer intelligent systems, and design secure, intuitive user journeys that protect the integrity of the platform and enhance the e-commerce experience for millions every day.
We're looking for passionate, curious individuals who care deeply about user experience and thrive on solving complex, high-stakes challenges. If you're eager to join a team where your ideas matter, your work drives real impact, and learning never stops, join us in building the future of e-commerce, one meaningful experience at a time. What makes our graduate track unique?
Our graduate track is designed to develop cross-functional talent with deep expertise in governance and experience, while also cultivating broad, cross-domain understanding. Within your first year, you'll rotate into carefully selected cross-functional teams, broadening your perspective, sharpening your problem-solving skills, and developing leadership skills to drive meaningful impact across the business. Each rotation's duration and pathway are thoughtfully designed to help you connect the dots across business areas, grow strategically, and build the versatility needed to thrive in a fast-evolving environment.
You'll get to: - Go deep and go broad — Develop cross-functional agility and understanding to adapt to evolving markets and accelerate your growth - Solve real problems with global impact — Contribute to projects that shape the experience for millions of users and sellers around the world
- Build what doesn't exist yet — shape new systems, processes, and policies in a fast-scaling business What's this role about? As an Anti-Fraud Strategy Product Manager in Risk Control & Security team, you'll play a key role in safeguarding our platform's integrity.
You'll design and improve product and operational strategies that detect and prevent fraud across a range of scenarios — from transactions and identity verification (KYC) to after-sales activities and interactions between sellers, buyers, and creators. You'll collaborate with cross-functional teams including risk operations, risk analytics, data science, engineering, and policy teams to turn insights into scalable solutions. This is a high-impact role where you'll help shape how trust and safety are built into our platform at scale.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
Responsibilities 1. Develop proactive risk control strategies by analyzing user behavior, content patterns, feedback, and other data signals — driving continuous improvements to our fraud prevention mechanisms and taking ownership of solution outcomes. 2. Partner with tech and analytics teams to design systems for risk detection, intervention, and governance measurement — building scalable tools and products that can support multiple business scenarios.
3. Build an end-to-end risk management framework that reduces capital loss and improves key platform risk indicators across the full business lifecycle. 4. Balance trade-offs between risk control, user experience, and platform performance — considering the needs of sellers, buyers, creators, and the broader ecosystem. 5. Collaborate with cross-functional partners across operations, product, engineering, and security to address fraud risks at scale and deliver sustainable impact.
QualificationsMinimum Qualifications
- Final year student (graduate in 2026) or recent graduates with less than 1 year of working experience, majoring in Computer Science, Business Analytics, Mathematics, Statistics, Data Science, or related fields with strong academic performance.
- Strong Analytical Skills - Comfortable working with data to uncover insights and drive decisions.
- User-First Thinking - Understand and anticipate users' needs to build better experiences.
- Drive and Adaptability - Thrive in fast-paced environments and navigate change with agility.
- Curiosity and Creativity - A knack for turning ideas into actionable strategies and a desire to explore innovative approaches.
- Strong interpersonal skills with the ability to build relationships and effectively liaise with people at all levels.
Preferred Qualifications
- Proficiency in SQL with understanding of statistics or algorithms is a strong advantage.
How to Submit an Application:
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