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Campaign Merchandise Operations Manager - Integrated Marketing (TikTok Shop By Tokopedia, Indonesia)

TikTok

Campaign Merchandise Operations Manager - Integrated Marketing (TikTok Shop By Tokopedia, Indonesia)

TikTok

Jakarta, Indonesia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work schedule

Conference budget

Design tool subscriptions

Health benefits

Competitive salary and equity

Healthcare

Required Skills

Figma

Framer

InVision

About the Team

Our SEA Integrated Marketing & Communication team is a dynamic group of creative minds, strategists, and marketing enthusiasts who are passionate about redefining the way people shop online. As a pivotal part of E-commerce Business, we work tirelessly to showcase the innovative potential of our platform, bridging the gap between users and their favorite contents & products. The team's core responsibility is to craft and execute integrated marketing and communications & campaign strategies that resonate with our diverse audience across SEA. We build brand awareness, drive user engagement, and enhance the overall shopping experience.

About the Role

As a Campaign Merchandise Operations Manager at Tik Tok Shop, you will play a key role in shaping the merchandise strategy and execution across high-impact sales campaigns. You will be responsible for building scalable merchandise frameworks, driving product performance, and delivering strong results through data-driven operational excellence and seller collaboration. This role requires a strong blend of analytical thinking, strategic planning, and hands-on execution in a fast-paced e-commerce environment.

Responsibilities

  • Responsible for merchandise hierarchy system build up, improve merchandise performance and leveling up through clear guidelines and mechanism during campaign periods.
  • Develop and maintain strong seller/brand relationships to negotiate favorable terms and secure competitive campaign pricing.
  • Develop and optimize campaign-specific traffic and subsidy strategies to maximize product exposure and conversion.
  • Monitor key merchandise metrics (e.g., GMV contribution, CTR, conversion rate, ROI) and identify levers for continuous improvement.

Qualifications

Minimum Qualifications

  • Bachelor's degree in business, operations or other relevant / quantitative disciplines
  • 3 years of working experience in e-commerce, merchandising, or campaign operations, ideally with platform-side experience.
  • Familiarity with e-commerce platform brand marketing strategies.
  • Strong analytical mindset with a data-driven approach to problem-solving.
  • Excellent communication and negotiation skills, with a proven track record of managing sellers or brand partnerships.

Preferred Qualifications

  • In-depth understanding of both e Commerce business and merchandise management.
  • Experience in merchandising, product sourcing, or inventory management, strong in cross-team communication and collaboration, and ability to quickly capture business pain points and opportunity.

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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