TikTok

AI Analysis & Performance Analyst - Customer Support, Trust & Safety

TikTok
US San Jose, CA, US
Onsite 2026-07-21
Estimated salary · San Jose
~ $48,300 - $72,500
Low
$48K
Median
$58K
High
$72K
Market in San Jose · BLS OEWS 2025
Estimated net pay
$3,341 - $4,777
/month · 17% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

Global Operations AI Analysis \& Performance Analyst \- Customer Support, Trust \& Safety Location : Employment Type : Regular Job Code : A84746 Responsibilities About the Role As a AI Analyst within the Performance \& Insights Customer Support team, you will play a key role in developing and executing on analytics and reporting initiatives which deliver data\-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R\&D teams globally. You are playing a key role in empowering TikTok platform to achieve AI automation. You will contribute to the development of industry\-leading capabilities to optimize system configuration, resource allocation, scheduling, and BPO operations in fast\-paced environments while monitoring performance and continuously looking for areas to improve efficiency and enable high standards of Customer Service Support. Responsibilities This role is responsible for developing and executing on analytics and reporting initiatives which deliver data\-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R\&D teams in both US and globally. You are playing a key role in empowering TikTok’s platform to achieve AI automation. You will contribute to the development of industry\-leading capabilities to optimize human\-AI task allocation, enhance operational efficiency through intelligent automation, and drive scalable solutions that improve user and agent experiences globally.You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast\-paced environment. Specific responsibilities include: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as we

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