As TikTok has become one of the world's leading social media platforms, TikTok Search Ads is committed to making every search more valuable by delivering user content that matches their needs, maximizing the effectiveness of client advertising campaigns, and thus improving TikTok's monetization efficiency.
As a team member, you will leverage qualitative/quantitative research to collect user feedback, develop deep understanding and empathy for our clients, and collaborate cross-functionally with design, product, and marketing teams to meet business needs.
We are looking for talented individuals to join us for an internship.
Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities:
- Own search ads metrics analysis, lead advertiser performance deep-dives by vertical, and turn insights into product strategy and iteration.
- Diagnose delivery-funnel pain points and drive optimization of recall, ranking, and bidding models;
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LLM/AI to query understanding, intent matching, and creative generation, with clear evaluation standards.
- Define product plans, priorities, and roadmaps against business goals; align partner teams and ensure delivery, identifying where new AI capabilities can step-change advertiser efficiency.
- Support GTM through data analysis, user feedback, and requirement collection.
- Drive execution with cross-regional R&D, design, data science, operations, and sales teams; own data monitoring, weekly reports, and core dashboards, leveraging AI tooling to scale analysis.