腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向）
Tencent
腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向）
Job Description
腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向）
📋 Job Overview
The Senior Product Manager for Tencent Cloud IM focuses on intelligent conversation products in enterprise customer service and marketing directions. The role involves deep research into frontier technologies like LLM, Agent, and RAG to identify opportunities and formulate mid-to-long-term product strategies. Responsibilities include leading full-cycle product design, building evaluation systems, coordinating cross-departmental teams, and tracking industry benchmarks to optimize user experience and commercial value.
📍 Location: Shenzhen, China
🏢 Business Unit: CSIG
📄 Full Description
1.深度研究LLM、Agent、RAG等前沿技术发展趋势，结合市场需求和产品方向，识别智能对话产品的发展机会点；
2.制定智能对话产品（企业客服/营销方向）的中长期发展规划和阶段性迭代策略，明确产品核心功能和差异化竞争优势；
3.主导智能对话产品的全流程设计，包括需求分析、功能架构搭建、原型设计、开发跟进及上线后的效果评估与优化；
4.构建科学的产品评估体系，通过数据分析持续监控关键业务指标，为产品迭代和商业化决策提供数据支撑；
5.协调研发、算法、测试、运营等多部门资源，推动跨团队高效协作，确保产品按时高质量交付并达成商业化目标；
6.跟踪行业标杆产品动态，与行业客户交流，定期进行赛道洞察与分析，持续优化产品用户体验和商业价值。
2.制定智能对话产品（企业客服/营销方向）的中长期发展规划和阶段性迭代策略，明确产品核心功能和差异化竞争优势；
3.主导智能对话产品的全流程设计，包括需求分析、功能架构搭建、原型设计、开发跟进及上线后的效果评估与优化；
4.构建科学的产品评估体系，通过数据分析持续监控关键业务指标，为产品迭代和商业化决策提供数据支撑；
5.协调研发、算法、测试、运营等多部门资源，推动跨团队高效协作，确保产品按时高质量交付并达成商业化目标；
6.跟踪行业标杆产品动态，与行业客户交流，定期进行赛道洞察与分析，持续优化产品用户体验和商业价值。
🎯 Key Responsibilities
- Deeply research trends in frontier technologies such as LLM, Agent, RAG, etc., combined with market demands and product directions, to identify development opportunities for intelligent conversation products.
- Formulate mid-to-long-term development plans and phased iteration strategies for intelligent conversation products (enterprise customer service/marketing direction), clarifying core functions and differentiated competitive advantages.
- Lead the full-cycle design of intelligent conversation products, including requirements analysis, functional architecture setup, prototype design, development follow-up, and post-launch effect evaluation and optimization.
- Build a scientific product evaluation system, continuously monitor key business indicators through data analysis, providing data support for product iteration and commercialization decisions.
- Coordinate resources from R&D, algorithms, testing, operations, and other departments to promote efficient cross-team collaboration, ensuring timely and high-quality product delivery and achievement of commercialization goals.
- Track dynamics of industry benchmark products, communicate with industry clients, regularly conduct track insights and analysis, and continuously optimize product user experience and commercial value.
🛠️ Required Skills
- Deep understanding of LLM, Agent, RAG and other frontier technologies
- Product planning and strategy formulation
- Full-cycle product design and management
- Data analysis and business metrics monitoring
- Cross-departmental coordination and collaboration
- Industry research and competitive analysis
Locations
- Shenzhen, China
Salary
Estimated Salary Rangemedium confidence
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep understanding of LLM, Agent, RAG and other frontier technologiesintermediate
- Product planning and strategy formulationintermediate
- Full-cycle product design and managementintermediate
- Data analysis and business metrics monitoringintermediate
- Cross-departmental coordination and collaborationintermediate
- Industry research and competitive analysisintermediate
Responsibilities
- Deeply research trends in frontier technologies such as LLM, Agent, RAG, etc., combined with market demands and product directions, to identify development opportunities for intelligent conversation products.
- Formulate mid-to-long-term development plans and phased iteration strategies for intelligent conversation products (enterprise customer service/marketing direction), clarifying core functions and differentiated competitive advantages.
- Lead the full-cycle design of intelligent conversation products, including requirements analysis, functional architecture setup, prototype design, development follow-up, and post-launch effect evaluation and optimization.
- Build a scientific product evaluation system, continuously monitor key business indicators through data analysis, providing data support for product iteration and commercialization decisions.
- Coordinate resources from R&D, algorithms, testing, operations, and other departments to promote efficient cross-team collaboration, ensuring timely and high-quality product delivery and achievement of commercialization goals.
- Track dynamics of industry benchmark products, communicate with industry clients, regularly conduct track insights and analysis, and continuously optimize product user experience and commercial value.
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向） @ Tencent.
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腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向）
Tencent
腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向）
Job Description
腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向）
📋 Job Overview
The Senior Product Manager for Tencent Cloud IM focuses on intelligent conversation products in enterprise customer service and marketing directions. The role involves deep research into frontier technologies like LLM, Agent, and RAG to identify opportunities and formulate mid-to-long-term product strategies. Responsibilities include leading full-cycle product design, building evaluation systems, coordinating cross-departmental teams, and tracking industry benchmarks to optimize user experience and commercial value.
📍 Location: Shenzhen, China
🏢 Business Unit: CSIG
📄 Full Description
1.深度研究LLM、Agent、RAG等前沿技术发展趋势，结合市场需求和产品方向，识别智能对话产品的发展机会点；
2.制定智能对话产品（企业客服/营销方向）的中长期发展规划和阶段性迭代策略，明确产品核心功能和差异化竞争优势；
3.主导智能对话产品的全流程设计，包括需求分析、功能架构搭建、原型设计、开发跟进及上线后的效果评估与优化；
4.构建科学的产品评估体系，通过数据分析持续监控关键业务指标，为产品迭代和商业化决策提供数据支撑；
5.协调研发、算法、测试、运营等多部门资源，推动跨团队高效协作，确保产品按时高质量交付并达成商业化目标；
6.跟踪行业标杆产品动态，与行业客户交流，定期进行赛道洞察与分析，持续优化产品用户体验和商业价值。
2.制定智能对话产品（企业客服/营销方向）的中长期发展规划和阶段性迭代策略，明确产品核心功能和差异化竞争优势；
3.主导智能对话产品的全流程设计，包括需求分析、功能架构搭建、原型设计、开发跟进及上线后的效果评估与优化；
4.构建科学的产品评估体系，通过数据分析持续监控关键业务指标，为产品迭代和商业化决策提供数据支撑；
5.协调研发、算法、测试、运营等多部门资源，推动跨团队高效协作，确保产品按时高质量交付并达成商业化目标；
6.跟踪行业标杆产品动态，与行业客户交流，定期进行赛道洞察与分析，持续优化产品用户体验和商业价值。
🎯 Key Responsibilities
- Deeply research trends in frontier technologies such as LLM, Agent, RAG, etc., combined with market demands and product directions, to identify development opportunities for intelligent conversation products.
- Formulate mid-to-long-term development plans and phased iteration strategies for intelligent conversation products (enterprise customer service/marketing direction), clarifying core functions and differentiated competitive advantages.
- Lead the full-cycle design of intelligent conversation products, including requirements analysis, functional architecture setup, prototype design, development follow-up, and post-launch effect evaluation and optimization.
- Build a scientific product evaluation system, continuously monitor key business indicators through data analysis, providing data support for product iteration and commercialization decisions.
- Coordinate resources from R&D, algorithms, testing, operations, and other departments to promote efficient cross-team collaboration, ensuring timely and high-quality product delivery and achievement of commercialization goals.
- Track dynamics of industry benchmark products, communicate with industry clients, regularly conduct track insights and analysis, and continuously optimize product user experience and commercial value.
🛠️ Required Skills
- Deep understanding of LLM, Agent, RAG and other frontier technologies
- Product planning and strategy formulation
- Full-cycle product design and management
- Data analysis and business metrics monitoring
- Cross-departmental coordination and collaboration
- Industry research and competitive analysis
Locations
- Shenzhen, China
Salary
Estimated Salary Rangemedium confidence
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep understanding of LLM, Agent, RAG and other frontier technologiesintermediate
- Product planning and strategy formulationintermediate
- Full-cycle product design and managementintermediate
- Data analysis and business metrics monitoringintermediate
- Cross-departmental coordination and collaborationintermediate
- Industry research and competitive analysisintermediate
Responsibilities
- Deeply research trends in frontier technologies such as LLM, Agent, RAG, etc., combined with market demands and product directions, to identify development opportunities for intelligent conversation products.
- Formulate mid-to-long-term development plans and phased iteration strategies for intelligent conversation products (enterprise customer service/marketing direction), clarifying core functions and differentiated competitive advantages.
- Lead the full-cycle design of intelligent conversation products, including requirements analysis, functional architecture setup, prototype design, development follow-up, and post-launch effect evaluation and optimization.
- Build a scientific product evaluation system, continuously monitor key business indicators through data analysis, providing data support for product iteration and commercialization decisions.
- Coordinate resources from R&D, algorithms, testing, operations, and other departments to promote efficient cross-team collaboration, ensuring timely and high-quality product delivery and achievement of commercialization goals.
- Track dynamics of industry benchmark products, communicate with industry clients, regularly conduct track insights and analysis, and continuously optimize product user experience and commercial value.
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯云 IM-高级产品经理-智能对话（企业客服、营销方向） @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs