TikTok Shop - Risk Strategy Product Manager

Description

About the Team
The TikTok e-Commerce Governance and Experience team is responsible for ensuring our marketplace is safe and trustworthy for users, sellers, and creators globally. We value user satisfaction and work on policies, rules, and systems to ensure quality for our community.

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!

Key Responsibilities
- End-to-End Domain Ownership: Lead the strategic roadmap for specific global risk domains. Design and implement systemic defense frameworks—including risk engine integration, feature logic, and decision pathways—ensuring a proactive defense posture.
- AI & Agent Orchestration: Drive the transformation of risk operations through AI. Design agent and skills orchestration, defining multi-agent workflows with auditable reasoning, escalation logic, and confidence thresholds. Translate complex risk judgment criteria into LLM prompts to automate decision-making and replace manual processes with scalable AI-driven solutions.
- AI Quality & Integrity Frameworks: Establish comprehensive AI quality evaluation frameworks and design cross-product integrity workflows to ensure robust, safe, and highly accurate AI deployments.
- Advanced Data Attribution: Conduct deep-dive root cause analysis (RCA) on strategy performance and model health. Interpret feature distributions and data trends to identify drifts, and autonomously adjust thresholds to balance risk levels with business growth.
- Global Scalability & Implementation: Translate complex risk logic into standardized global playbooks and quality benchmarks (QA) to ensure consistent defense performance across all localized markets.
- Technical Bridge & Execution: Translate complex risk requirements into scalable product roadmaps and technical specifications, driving cross-functional execution across Data, Algorithm, Engineering, and Operations teams.

Requirements

Minimum Qualification(s):
- 5 years of experience in Risk Management, Trust & Safety, or Anti-fraud within major technology ecosystems. Proven success in navigating high-concurrency adversarial attacks.
- Strong systems thinking and product sense, with a demonstrated ability to build scalable, logic-driven product frameworks.
- Expert-level SQL skills with the ability to autonomously extract insights and risk signals from large-scale, complex datasets. Proficiency in A/B experimentation and data-driven iteration to continuously optimize strategy performance.
- 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 prompt engineering, agent architecture, workflow design, and data modeling. Deep business process knowledge, with the ability to map user journeys to AI agent behaviors seamlessly.
- 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.

Preferred Qualification(s):
- Some coding background is preferred, enabling deeper technical collaboration and faster prototyping with engineering counterparts.