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Business Development Project Intern (TikTok Shop-FMCG) - 2026 Start (BS/MS)

TikTok

Business Development Project Intern (TikTok Shop-FMCG) - 2026 Start (BS/MS)

TikTok

London, United Kingdom

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Healthcare

Unlimited Pto

Equity

필수 스킬

Outreach

HubSpot

Gong

About Our Team

The FMCG (Fast-Moving Consumer Goods) team focuses on identifying, incubating, and scaling FMCG brands on Tik Tok Shop. We collaborate cross-functionally to deliver tailored solutions and hands-on support, ensuring the vitality and growth of Tik Tok Shop as a leading e-commerce marketplace.

We are looking for talented individuals to join us for an internship from Jan 2026. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at Tik Tok.

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.

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.

Responsibilities

  • Business Development: Identify high-quality opportunities in brands that will add value and drive growth on the platform; Focus on incubating and nurturing merchants to optimise their performance, while working towards team objectives and targets
  • Account Management: Manage merchants and support their growth by collaborating with relevant teams to troubleshoot issues, optimise their visibility, and maximize their success on the platform
  • Data Analysis: Deep dive into data to uncover insights, identify opportunities, and develop actionable modification plans
  • Campaign: Manage the delivery of creative assets, traffic and all relevant campaign documentation in preparation for a campaign launch; Monitor campaign delivery and make adjustments/recommendations

Qualifications

Minimum Qualifications

  • Experience of relatable in-category management, at an e-commerce company, a large retailer, marketing, advertising or other company with specialism in category
  • Strong analytics, organisational and communication skills
  • A proven ability to multi-task and manage multiple projects effectively and work well under pressure to deliver high-quality work within tight deadlines
  • A fast learner with a good sense of judgment and original thinking. Ability to thrive in ambiguity and adjust quickly to change and ability to work independently and collaboratively with diverse groups
  • Able to commit to working for 12 weeks for the rest of year

Preferred Qualifications

  • Proven client-facing experience
  • Familiarity with e-commerce markets
  • Demonstrated experience in leading operational initiatives and delivering measurable results

Privacy

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

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

TikTok 소개

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.7

문화

4.1

커리어

3.2

경영진

2.9

68%

친구에게 추천

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

연봉 정보

49개 데이터

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3개 리포트

$143,750

총 연봉

기본급

$125,000

주식

-

보너스

-

$126,500

$163,300

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit