[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# 海外创作者策略运营-【Ksib】

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31940)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 海外创作者策略运营-【Ksib】

## Job description
- 支持内容生态供给侧的策略运营工作，围绕作者增长、活跃、留存及内容质量提升，支持业务目标达成；
- 深入理解作者生态和内容分发逻辑，参与作者激励、活动运营等策略设计与迭代；
- 按团队需求，参与业务数据追踪和异动分析工作；研究业务重点发展方向的课题，综合数据和研究手段，产出建议并推动落地；
- 按需推进团队在产品运营层面的动作落地。
- 良好的专业技能与知识，有策略运营/商业分析经验加分；
- 认可运营与数据结合的价值，对常见AI工具的使用有实际业务经验，能够挖掘数据背后的商业本质，沟通能力好，主动意识强；
- 数据分析能力出色，有分析工作经验、在互联网公司内容方向 商业/数据/策略分析经验优先；
- 熟练使用Excel，精通SQL，熟练商业分析与流量分析体系优先。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31940)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)