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收藏品战略经理毕业生 - 2027年入职

雇主

TikTok

地点

California · Los Angeles · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Graduate role to develop category and business strategies for TikTok Shop's Collectibles business, d

岗位职责

Our US Operations team partners closely with merchants, creators, brands, and cross-functional teams to build high-growth business categories and create long-term value for both sellers and consumers.
We are an entrepreneurial, fast-paced organization where innovation, ownership, and execution are highly valued.
We are looking for talented individuals to join our team.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
The application limit is applicable to our Company and its affiliates' jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Develop category and business strategies by diagnosing key growth opportunities, structural challenges, and operational bottlenecks across TikTok Shop’s Collectibles business.
- Partner closely with cross-functional (XFN) teams to define goals, pilot initiatives, and identify key areas for continuous improvement.
- Conduct data-driven analysis, competitor benchmarking, and hypothesis testing to solve business challenges and identify new growth opportunities.
- Work with product & tech teams to design scalable, tech-driven solutions that lower entry barriers for merchants and enhance overall platform competitiveness.

申请条件

Open to graduates. Must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有