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Kuaishou Technology · Beijing

# 高阶投放策略产品（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/30094)

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

## Job description
- RTB策略体系设计与落地，主导实时竞价（RTB）、CPA+/oTree等策略的整体规划，制定动态出价模型、竞价策略与资源分配规则；
- 跨平台投放策略（信息流/搜索/效果广告），提升全渠道转化效率，重点优化字节穿山甲/DSP等程序化广告链路、数据建模与策略优化；
- 基于用户行为数据、投放结果数据，建立预测模型（如点击率CTR、转化率CVR、LTV），指导策略调整；
- 通过 A/B测试验证策略效果，持续优化出价策略、定向规则、流量筛选等核心算法参数，降低CPA；
- 洞察程序化广告市场动态（如隐私计算、程序化Direct等），提前布局策略调整分析 头部广告平台（如巨量引擎、腾讯广告）的RTB机制，沉淀可复用策略。 1、5年以上策略产品经验，有RTB、程序化广告、效果广告策略经验（如DSP/ADX产品背景），优先有字节穿山甲、巨量引擎等平台策略落地经验； 2、精通数据建模：熟练使用SQL/Python/R，能构建CTR/CVR/LTV预测模型，有实际策略应用案例； 3、深刻理解实时竞价机制：掌握 eCPC、vCPM、二阶段竞价 等主流RTB模式，了解 DSP/SSP/ADX 产品逻辑； 4、熟悉主流广告平台API：能对接 RTB数据流并设计实时策略；强策略思维：能将商业目标拆解为 可量化、可执行的算法规则。

## 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/30094)

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

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