Tiktok-posted 3 months ago
Full-time • Entry Level
Seattle, WA
5,001-10,000 employees

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. 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.

  • Apply investigational thinking and data analysis to support fraud case audits, identify root causes, and propose actionable risk mitigation strategies
  • Collaborate with product, data, and engineering teams to evaluate and improve fraud detection tools, rules, and business processes
  • Build dashboards and reporting models to monitor risk exposure, track intervention outcomes, and support data-driven decision-making
  • Study fraud trends and behavior patterns across regions and contribute to the design of fraud intelligence systems
  • Support process improvements that address platform abuse scenarios, such as reseller detection, incentive manipulation, and fake transactions
  • Communicate findings and complex results clearly to cross-functional stakeholders, and help manage mitigation project timelines and priorities
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