[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Meituan jobs](https://jobs.opennash.com/companies/meituan/) · [Search jobs](/search/)

Meituan · 北京市 +1 more

# 客服大模型电话产品岗

北京市 +1 more 

Listed on Meituan ’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=social&jobUnionId=4717407290)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / 客服大模型电话产品岗

## Job description
- 拆解大模型技术边界，结合亿级C端用户行为数据与客服高频场景，探索大模型在语音客服领域的应用价值​，实现电话时延、对话拟人度和模型效果的平衡
- 跟进技术前沿，能够了解语音交互类技术前沿进展，并结合业务场景所需推动落地试点，优化对话效果、改善用户体验
- 负责清晰的探索路径，产品节奏，制定量化目标，输出各阶段价值报告，并对齐业务预期
- 对美团多业务线，整合用户共性需求与业务个性化诉求
- 把控落地过程中的能力可行性验证，方案实现、并制定效果指标​和评测方案

### 跟踪核心指标，收集用户反馈并转化为需求，适配用户行为变化 岗位要求
- 1.3年以上互联网产品经理经验，具备大模型项目落地经验，有语音交互类、RAG或AI Agent产品方案设计经验者优先。 2.较强的业务理解能力，能深入了解用户需求和痛点，将大模型应用落地与用户需求相结合。 3.有较强的项目管理、沟通表达和跨团队协调能力，能拿结果打胜仗。 塑造未来，你将主导客服场景大模型应用的落地； 专业深化，你将深度参与美团平台大模型技术STL组织； 全局视野，你将了解美团所有业务差异化的服务策略；

## 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: 北京市 +1 more[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=social&jobUnionId=4717407290)

## More jobs at Meituan 

### [AI Agent 产品经理](https://jobs.opennash.com/companies/meituan/jobs/2b6311eacacf7247913a/)

北京市 +1 more

### [AI Agent 研发工程师](https://jobs.opennash.com/companies/meituan/jobs/f9b3d4aa95acf5819eeb/)

北京市 +1 more

### [AI Agent工程师](https://jobs.opennash.com/companies/meituan/jobs/5f93a9700c1ee721af06/)

北京市 +1 more

### [AI Builder（产研范式方向）](https://jobs.opennash.com/companies/meituan/jobs/b24feb70be908b5d1104/)

北京市 +1 more

### [AI Builder（研发工作流方向）](https://jobs.opennash.com/companies/meituan/jobs/5f783bdfef00cdea64c2/)

北京市 +1 more

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/)
