[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

# 数据产品（流量管理方向）

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/25515)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 数据产品（流量管理方向）

## Job description
- 负责埋点平台的产品迭代，为埋点的生产和测试流程提效、埋点质量保障、埋点查找等提供高质量、体验好的服务；
- 保障和迭代埋点基建能力，包括路径染色、策略stid，并管理好埋点的关键参数，并与数据BP团队协同形成跨业务、公司级规范；
- 与各业务技术团队协作，迭代跨业务、新的埋点场景和需求，为公司跨域推荐模型的数据源支持、活动自动化等场景提供综合解决方案。
- 有一定产品设计能力，可通过用户访谈调研澄清需求，并给出完成的产品设计方案，并与研发协同落地；
- 熟悉快手埋点体系，负责过快手的业务埋点，了解埋点染色、策略归因；
- 对快手流量分类、营收归因体系熟悉，并在至少单个业务内进行过深入应用；
- 沟通协作能力强，能针对业务难点痛点问题，通过跨业务的项目制工作方式提供综合解决方案。

## 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/25515)

## 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/)