Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Benchmarking, Building Systems, Concurrency, Cross-Functional, Data Analysis, Data Sets, Ecosystems, Machine Learning, Operations Management, Performance Modeling, Problem Solving Skills, Product Management, Quality Assurance, Risk, Risk Management, Root Cause Analysis, SQL (Structured Query Language), Sales, Systems Administration/Management, Technical/Engineering Design, Testing, User Interface/Experience (UI/UX), eCommerce
LOCATION
Seattle, WA
POSTED
15 days ago
About the Team:
The TikTok E-commerce Governance and Experience team ensures our marketplace remains safe, trustworthy, and customer-centric across the globe. We protect users, sellers, and creators by designing policies, building systems, and managing operations that safeguard platform integrity. As part of the Governance and Experience (GNE) organization, our Risk Control and Security team safeguards TikTok Shop's global marketplace for users, sellers, and creators. We blend data-driven insights, policy design, and technical innovation to combat fraud while preserving a seamless user experience.
Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities:
Domain Execution Support: Support the strategic roadmap for a defined risk area under guidance.
Contribute to systemic defense frameworks - helping with risk engine integration, feature logic, and decision pathways - learning to move the team toward a proactive defense posture.
AI & Agent Orchestration (Supporting): Help build and test agent and skills workflows. Draft, iterate, and evaluate LLM prompts that translate risk judgment criteria into automated decisions, and assist in replacing manual processes with AI-driven solutions.
AI Quality & Integrity Support: Assist in running AI quality evaluations and executing cross-product integrity/QA workflows to keep AI deployments safe and accurate.
Data Analysis & RCA: Conduct data analysis and support root-cause analysis (RCA) on strategy performance and model health. Monitor feature distributions and data trends to flag drift, and recommend threshold adjustments for review.
Playbook & QA Execution: Help translate risk logic into standardized global playbooks and quality benchmarks (QA), and support consistent defense performance across localized markets.
Cross-Functional Coordination: Help turn risk requirements into clear specifications and coordinate day-to-day execution across Data, Algorithm, Engineering, and Operations teams. Minimum Qualifications:
+1 years of experience in Risk Management, Trust & Safety, or Anti-fraud within major technology ecosystems.
Expert-level SQL skills with the ability to autonomously extract insights and risk signals from large-scale, complex datasets.
Strong understanding of machine learning principles, specifically in designing high-impact features and evaluating model performance (e.g., Precision, Recall, AUC) to optimize risk-reward trade-offs.
Hands-on experience with AI/LLM applications, including Prompt Engineering and the orchestration of AI agents to solve operational challenges.
Exceptional ability to influence and collaborate across diverse teams, including Business, Data, Engineering, and Operations.
A self-starter with a strong sense of ownership. Comfortable making high-stakes, data-backed decisions in ambiguous environments.
Proven success in navigating high-concurrency adversarial attacks.
Preferred Qualifications:
Ability to work in a fast-paced, cross-functional environment.
Experience in e-commerce, fintech, trust & safety, or digital platforms is a plus.