阿里巴巴 – Project Korea-Recommendation Product Manager-Seoul 职位分析和面试指导

职位描述：

• Lead the product planning and execution of the platform’s recommendation system to improve the accuracy and effectiveness of personalized recommendations.
• Analyze user behavior and purchase data to identify needs and preferences, and optimize recommendation algorithms accordingly.
• Collaborate with data scientists and engineering teams to drive the development and enhancement of recommendation algorithms.
• Develop and manage the product roadmap, ensuring timely delivery of projects that meet quality standards.
• Monitor key performance indicators of the recommendation system, provide optimization suggestions, and implement improvement plans.
• Work with marketing and user experience teams to ensure that recommendation product features align with the overall user experience.

职位要求：

• Bachelor’s degree or higher in computer science, data science, marketing, or a related field is preferred.
• At least 5 years of product management experience, with a background in e-commerce platform recommendation systems or personalization products preferred.
• Ability to analyze user data and market trends, and derive insights from data.
• Familiarity with recommendation algorithms and basic principles of machine learning; practical experience is a plus.
• Strong project management skills, with the ability to drive projects in a fast-paced environment.
• Proficiency in Korean or English, with excellent communication skills.

招聘部门：

阿里巴巴 Alibaba Group

工作地点：

Seoul

注意：为了确保您掌握真实的招聘信息，上述信息均为原始内容。我们的“面试建议”和“模拟面试”均基于原始招聘信息设计和提供。

面试建议：

这个职位是阿里巴巴在首尔设立的推荐产品经理岗位，专注于电商平台的个性化推荐系统。与普通产品经理不同，这个岗位特别强调对推荐算法和机器学习原理的理解，以及将技术转化为商业价值的能力。面试官会特别关注你在电商推荐系统方面的实战经验，以及如何通过数据分析优化推荐效果。值得注意的是，这个岗位需要同时具备产品思维和技术理解力，能够作为桥梁连接数据科学团队和业务部门。

在准备面试时，你需要重点准备三个方面的内容：首先是你过往在推荐系统产品上的具体案例，最好能展示你如何通过数据分析发现问题并优化推荐算法；其次是展示你对推荐算法原理的理解，不需要深入到代码层面，但要能说明不同算法的适用场景；最后是强调你的项目管理能力，特别是在跨文化团队协作方面的经验。建议准备3-5个具体的数据故事，说明你如何通过数据洞察提升了推荐效果。面试时可能会遇到算法原理、AB测试设计、指标优化等专业问题，要做好技术准备。同时，由于工作地点在首尔，建议提前了解韩国电商市场特点。