10 дней назад
Anti-Fraud Operations Manager (TikTok Shop)
147 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Anti-Fraud Operations Manager (TikTok Shop) (E-commerce/Risk Operations): Leading anti-fraud operations for a marketplace by managing analysts, BPO partners, investigations, and enforcement workflows with an accent on fraud detection, operational risk, and cross-functional alignment. Focus on deep-dive investigations, identifying emerging threat patterns, and integrating AI and LLM tools to automate case handling and improve threat detection.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $147,000–$270,000 annually, plus potential discretionary bonuses, incentives, and restricted stock units.
Company
operates data privacy, cybersecurity, trust and safety, and content moderation programs for TikTok products in the United States.
What you will do
- Lead, mentor, and develop anti-fraud operational analysts while managing workflows, project delivery, and performance metrics.
- Manage BPO and vendor relationships, including performance benchmarks, quality standards, and appeal-handling workflows.
- Oversee deep-dive fraud investigations, escalations, forensic analysis, and identification of emerging threat patterns.
- Lead the adoption of AI and large language model tools for case handling, insight sharing, and threat detection.
- Collaborate with partner teams to build platform guardrails and align operational risk priorities.
Requirements
- 5+ years of experience in anti-fraud, trust and safety, risk operations, or risk analytics in technology or e-commerce, including 4+ years in people management.
- Hands-on SQL experience for data analysis and metric validation; familiarity with Python, R, or automated workflow tools.
- Experience with deep-dive fraud investigations, operational enforcement workflows, and risk insight development.
- Ability to manage projects and align cross-functional stakeholders across time zones and cultural contexts.
- Bachelor’s degree in mathematics, statistics, computer science, engineering, business analytics, or a related quantitative or technical field.
- Strong storytelling, communication, ambiguity management, and operational judgment skills.
Nice to have
- Familiarity with U.S. data security frameworks, compliance standards, and highly regulated environments.
- Experience using AI, LLMs, or automated workflow tools to optimize manual reviews, case auditing, or operational efficiency.
- Experience managing operational risk or fraud in a multi-sided e-commerce marketplace.
Culture & Benefits
- Fully in-person work supports rapid decision-making, alignment, team development, and integrated execution.
- Medical, dental, and vision insurance available from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, and wellbeing benefits.
- 10 paid holidays, 10 paid sick days, and 17 days of paid personal time, with accrual increasing by tenure.
- Inclusive workplace with reasonable accommodations available during recruitment.
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