岗位职责： 1. 参与AI native C端产品的规划与设计 1）深度参与从0到1构建AI原生健康管理产品，洞察高净值用户在医疗健康场景中的深层需求。 2）进行市场调研、竞品分析与用户研究，重点关注海外成熟市场的健康管理产品模式与用户体验。 3）通过vibe Coding快速定义产品功能与交互流程，撰写需求PRD 2. 推动AI技术的产品化落地 1）探索并应用大语言模型（LLM）、RAG、AI Agent等前沿技术，设计创新的用户交互场景（如智能健康助手、主动式健康预警等）。 2）与算法、研发团队紧密协作，参与Prompt Engineering、模型效果评估及产品上线后的数据追踪与迭代优化 3. 全生命周期产品管理 1）在资深产品经理的指导下，经历从需求调研、产品规划、功能设计、开发测试到上线运营的产品全生命周期。 2）通过数据分析和用户反馈，持续优化产品功能和用户体验，提升核心业务指标。 4. 跨团队协作与沟通 1）作为项目推动者，与临床医生、设计师、工程师等多方角色高效协同，确保产品方案的顺利落地。 1. Product Planning & Design for AI-Native C-End Applications - Deeply participate in building an AI-native health management product from 0 to 1, identifying the underlying needs of high-net-worth individuals in medical and healthcare scenarios. - Conduct market research, competitive analysis, and user studies, with a focus on health management product models and user experiences in mature overseas markets. - Rapidly define product features and interaction flows through vibe coding, and draft PRDs (Product Requirement Documents). 2. Driving AI Technology into Product Implementation - Explore and apply cutting-edge technologies such as Large Language Models (LLMs), RAG, and AI Agents to design innovative user interaction scenarios (e.g., intelligent health assistants, proactive health alerts, etc.). - Collaborate closely with algorithm and engineering teams, participate in Prompt Engineering, model performance evaluation, and conduct post-launch data tracking and iterative optimization. 3. Full-Lifecycle Product Management - Under the guidance of a senior product manager, experience the entire product lifecycle—from requirement discovery, product planning, feature design, development and testing, to launch and operations. - Continuously optimize product features and user experience through data analysis and user feedback, improving key business metrics. 4. Cross-Team Collaboration & Communication - Act as a project driver, efficiently coordinating with multiple stakeholders including clinicians, designers, and engineers to ensure smooth execution of product initiatives. 岗位要求： 1. 教育背景：毕业于QS世界大学排名前100的海外院校优先。专业方向为计算机科学、人工智能、数据科学相关领域。 2. 核心能力： 1）全球化视野：拥有1年以上的海外学习、生活或实习经验，对跨文化用户的行为习惯和产品体验有深刻理解。 2）AI敏锐度：对ChatGPT、Claude等大语言模型产品有深度使用经验。熟悉或了解Prompt Engineering、AI Agent工作流等。具备Python、SQL等基础技术能力。 3）用户同理心：能敏锐体察用户需求与心理，特别是对高端医疗服务场景有独特见解。 4）逻辑与数据思维：具备出色的逻辑分析能力，能够通过数据驱动产品决策。 3. 经验要求 1）面向应届毕业生或工作经验在1年以内的候选人。 2）有互联网大厂、知名AI公司或医疗健康领域的产品实习经验者优先。 4. 语言能力 1）英语可作为工作语言，能够流畅地沟通与协作 1. Educational Background - Graduates from overseas universities ranked in the QS World University Rankings Top 100 are preferred. - Preferred majors: Computer Science, Artificial Intelligence, Data Science, or related fields. 2. Core Competencies - Global Perspective: At least 1 year of overseas study, living, or internship experience, with a deep understanding of cross-cultural user behaviors and product experiences. - AI Proficiency: Extensive hands-on experience with LLM products such as ChatGPT and Claude. Familiarity with Prompt Engineering, AI Agent workflows, etc. Basic technical skills in Python and SQL are preferred. - User Empathy: Ability to keenly perceive user needs and psychology, with particular insight into high-end healthcare service scenarios. - Logical & Data-Driven Mindset: Strong analytical skills, with the ability to drive product decisions through data. 3. Experience Requirements - Open to recent graduates or candidates with less than 1 year of work experience. - Internship experience at major tech companies (e.g., leading internet firms), renowned AI companies, or in the healthcare sector is preferred. 4. Language Proficiency - English must be usable as a working language, with the ability to communicate and collaborate fluently.