[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

# C端产品实习生-【生活服务】

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/32154)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / C端产品实习生-【生活服务】

## Job description
- 参与快手生活服务直播间、门店货架、商详等导购产品的方案设计与优化；
- 以驱动团购GMV和用户规模增长为目标，提升用户从浏览到下单的转化效率
- 基于数据和用户反馈，同运营和商务等业务团队紧密合作，分析产品线上业务数据与用户反馈，持续迭代产品策略，优化用户体验；
- 协调产品及内部协作团队资源，推动技术团队完成产品技术方案、计划和落地实施，保证产品开发进度、质量与发布上线。
- 本科及以上学历，有本地生活c端产品背景优先；
- 数据敏感度强，能够对产品、线上线下流程定性与定量分析，并通过数据指导产品设计；
- 优秀的用户体验意识，习惯打磨用户体验，强目标导向；
- 有较强的项目管理能力，良好的合作意识，能够跟业务&研发团队紧密沟通，协作推荐产品功能落地。

## 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/32154)

## 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/)