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JobsTikTok

Agency Management Project Intern (Multi-channel Network) - 2026 Start (BS/MS)

TikTok

Agency Management Project Intern (Multi-channel Network) - 2026 Start (BS/MS)

TikTok

Jakarta, Indonesia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave

Competitive salary and equity package

Flexible work arrangements

401(k) matching

Parental Leave

Equity

Flexible Hours

Required Skills

JavaScript

Node.js

PostgreSQL

About the Role

In particular, the e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe Tik Tok is an ideal platform to deliver a brand new and better e-commerce experience to our users.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

The MCN team partners with multi-channel networks, agencies, and creators to build a strong content and creator ecosystem on Tik Tok Shop. We focus on incubating creators, driving sustainable growth through training and resources, and enabling them to connect effectively with brands and sellers to maximize performance.

Responsibilities

  • Support MCN team members monitor agencies' real-time performance, analyse the agencies' circumstances and give them advice.
  • Back up for MCN team members coordinating with cross-functional teams.
  • Checking the new agency registration and assigning MCN team members for management.

Qualifications

Minimum Qualifications

  • Currently enrolled in a Bachelor's degree program in Film Production, Digital Media, Communications, or related field.
  • Minimum internship of 3 months.
  • Great communication skills, presentation and problem-solving, enjoy communication with MCN and deliver daily support with a strong user-driven mindset.
  • Be enthusiastic, responsible, result-driven and efficient, and can work under pressure.
  • Good interpersonal skills, strong logical thinking, and analytical skills, good at visualizing data or analysis results.

Preferred Qualifications

  • Internship experience in large ecommerce platforms, leading consulting or Internet companies is a plus
  • Good understanding of the ecommerce industry & its business structure, consumer needs and demand, influencers, social media, e-commerce, livestreaming, and digital trends landscape.
  • Having a wide network of creators/agencies.

Additional Information

Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period.

Candidates who pass resume screening will be invited to participate in Tik Tok's technical online assessment.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures