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Kuaishou Technology · Beijing

# 高阶策略产品（增长）-【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/31876)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 高阶策略产品（增长）-【主站】

## Job description

### 全链路策略负责
- 统筹快手主站素材分发、冷启动、用户新回承转、激励预算与流量分发三大核心策略方向，以DAU增长、留存提升、钱效最优、素材起量效率为核心目标，搭建一体化策略体系；

### 素材策略与分发优化
- 负责素材召回链路、冷启动公平测试与精准分发策略设计，建立“素材
- 账户
- 人群”匹配模型；协同算法团队理解召回、排序、重排机制，推进策略实验、灰度与全量落地，持续提升素材起量率；

### 用户增长与留存转化
- 围绕用户生命周期（获客
- 承接
- 转化
- 留存），通过数据分析与策略拆解，优化流量推荐与场景体验，提升用户消费深度、时长与活跃度，驱动规模增长；

### 激励业务钱效与流量运营
- 负责千万级金币补贴预算策略、亿级UV激励流量分发效率，通过预算、任务、人群精细化运营，实现激励业务与大盘增长协同，达成DAU与ROI最优；

### 数据驱动与创新迭代
- 独立完成实验设计、指标监控、效果评估与复盘；跟踪行业与竞品动态，结合AIGC工具、自动化基建、裂变玩法，持续探索智能化、高效率的产品与策略方案。
- 本科及以上学历，5年以上互联网策略产品经验，具备素材创意、广告投放、短视频推荐、用户增长、激励流量、补贴策略任一核心背景，有成功项目案例与代表作；
- 精通数据分析与策略拆解，具备实验设计、灰度落地、项目推进与跨团队协同能力；数据导向、结果导向；
- 理解推荐系统原理（召回、排序、重排），熟悉用户增长、流量分发、裂变玩法、投放逻辑者优先；有内容社区、短视频平台经验优先；
- 有AIGC工具实操经验（Midjourney/Runway/Kling等）、大型广告主、代理商投放优化经验者优先；
- 自驱力强、责任心强、抗压能力强，能适应快节奏迭代，具备全局视野与极致用户体验意识；
- 有成熟的团队管理经验。

## 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/31876)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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