[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

# 付费直播运营（达人向）-【主站】

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/32687)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 付费直播运营（达人向）-【主站】

## Job description
- 负责付费直播行业运营，围绕具有付费潜质的内容方向制定运营策略，对GMV目标达成负责；
- 结合平台特性和用户需求洞察，探索新的付费直播场景和内容品类，打造达人标杆；
- 独立推进重点项目落地，对接协同内外部合作方，包括项目评估、合作沟通、权益谈判等；
- 结合AI能力监测直播数据，输出策略分析与复盘报告，并迭代运营模式，沉淀可复制运营方法。
- 本科及以上学历，具备达人变现相关经验，直播方向的优先；
- 熟悉直播生态，能独立识别、引入高付费潜力内容并打造标杆案例，持续复盘优化运营策略；
- 数据敏感，善用数据分析驱动内容产品迭代，具备扎实的内容运营策略与方法论认知；
- 沟通表达与逻辑分析能力强，责任心强、协作意识佳，具备资源整合与跨团队统筹能力。

## 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/32687)

## 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/)
