混元大模型数据平台产品经理（深圳）
Tencent
混元大模型数据平台产品经理（深圳）
Job Description
混元大模型数据平台产品经理（深圳）
📋 Job Overview
The Product Manager for the Hunyuan Large Model Data Platform in Shenzhen will lead product planning and development for the platform. The role focuses on enhancing data delivery quality and efficiency by exploring scalable product capabilities based on large models and driving their implementation. Ultimately, it aims to boost the penetration, usage, and reputation of large models and intelligent agents both internally and externally through optimized product features.
📍 Location: Beijing, China
🏢 Business Unit: TEG
📄 Full Description
2.围绕提高数据交付质量、效率目标，，以大模型为基础，探索产品化、可复制的产品能力，抽象方案，推动落地；
3.通过产品能力，提升大模型、智能体等产品能力在司内外的渗透、使用、口碑；
4.通过对需求的研究分析，持续优化和完善产品能力，提升大模型、智能体等产品的用户价值和商业价值。
🎯 Key Responsibilities
- Responsible for product planning related to the large model data platform.
- Centered on improving data delivery quality and efficiency goals, based on large models, explore productization and replicable product capabilities, abstract solutions, and promote implementation.
- Through product capabilities, enhance the penetration, usage, and reputation of large models, intelligent agents, and other products inside and outside the company.
- Through research and analysis of requirements, continuously optimize and improve product capabilities, enhancing user value and commercial value of large models, intelligent agents, and other products.
Locations
- Beijing, China
Salary
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.
Responsibilities
- Responsible for product planning related to the large model data platform.
- Centered on improving data delivery quality and efficiency goals, based on large models, explore productization and replicable product capabilities, abstract solutions, and promote implementation.
- Through product capabilities, enhance the penetration, usage, and reputation of large models, intelligent agents, and other products inside and outside the company.
- Through research and analysis of requirements, continuously optimize and improve product capabilities, enhancing user value and commercial value of large models, intelligent agents, and other products.
Tags & Categories
混元大模型数据平台产品经理（深圳）
Tencent
混元大模型数据平台产品经理（深圳）
Job Description
混元大模型数据平台产品经理（深圳）
📋 Job Overview
The Product Manager for the Hunyuan Large Model Data Platform in Shenzhen will lead product planning and development for the platform. The role focuses on enhancing data delivery quality and efficiency by exploring scalable product capabilities based on large models and driving their implementation. Ultimately, it aims to boost the penetration, usage, and reputation of large models and intelligent agents both internally and externally through optimized product features.
📍 Location: Beijing, China
🏢 Business Unit: TEG
📄 Full Description
2.围绕提高数据交付质量、效率目标，，以大模型为基础，探索产品化、可复制的产品能力，抽象方案，推动落地；
3.通过产品能力，提升大模型、智能体等产品能力在司内外的渗透、使用、口碑；
4.通过对需求的研究分析，持续优化和完善产品能力，提升大模型、智能体等产品的用户价值和商业价值。
🎯 Key Responsibilities
- Responsible for product planning related to the large model data platform.
- Centered on improving data delivery quality and efficiency goals, based on large models, explore productization and replicable product capabilities, abstract solutions, and promote implementation.
- Through product capabilities, enhance the penetration, usage, and reputation of large models, intelligent agents, and other products inside and outside the company.
- Through research and analysis of requirements, continuously optimize and improve product capabilities, enhancing user value and commercial value of large models, intelligent agents, and other products.
Locations
- Beijing, China
Salary
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.
Responsibilities
- Responsible for product planning related to the large model data platform.
- Centered on improving data delivery quality and efficiency goals, based on large models, explore productization and replicable product capabilities, abstract solutions, and promote implementation.
- Through product capabilities, enhance the penetration, usage, and reputation of large models, intelligent agents, and other products inside and outside the company.
- Through research and analysis of requirements, continuously optimize and improve product capabilities, enhancing user value and commercial value of large models, intelligent agents, and other products.
Tags & Categories