Project Intern – E-commerce Campaigns

Job Description

Category Management Project Intern (TikTok Shop – Operation Center) | TikTok

The Tone:
This is an internship at TikTok, located in Los Angeles, CA. TikTok is a leading global destination for short-form mobile video, with a mission to inspire creativity and bring joy to its millions of users. The company is actively building an innovative, secure, and intuitive e-commerce ecosystem through TikTok Shop. This role is crucial in supporting the US operation and campaign teams by executing various brand campaigns, driving strategic initiatives, and helping to shape the future of e-commerce experiences for users.

The TL;DR
• Role: Internship
• Type: Temporary (minimum 3 months)
• Location: In-person, Los Angeles, CA
• Pay: $23.75 hourly
• Team: US operation team, supporting the campaign team
• Mission: To power the future of e-commerce by supporting high-impact initiatives that connect brands with consumers in meaningful ways.

What You’ll Actually Do
• Market Analysis: Assist the team by analyzing market trends, including assortment supply, traffic, and content to inform strategic decisions.
• Campaign Execution: Work as a Campaign Executive with stakeholders to ensure campaigns run smoothly, managing promotion settings, creator sourcing, and product delivery tracking.
• Performance Monitoring: Monitor real-time campaign and project performance, along with tracking post-campaign evaluation metrics.
• Reporting Support: Provide support for the preparation and analysis of weekly performance reports.

The Must-Haves
• Background: Currently pursuing a Bachelor’s Degree or above in Business, Project Management, Data Analytics, or a related field.
• Experience: No specific years required; prior e-Commerce experience is strongly preferred.
• Skills: Excellent communication and problem-solving abilities, strong organization, multitasking, and prioritization skills, and proficiency in Excel and data analysis.
• Bonus: Prior e-Commerce experience and a data-driven approach with sensitivity to data insights.