LAZADA-AI产品经理（导购&搜索）-杭州

负责Lazada平台AI驱动的搜索产品规划与设计，结合用户行为与业务目标，持续优化搜索相关性、个性化推荐及用户体验。

深入理解电商搜索场景，主导从需求分析、产品定义到上线迭代的全流程，推动搜索算法、工程与运营团队高效协同。

基于数据洞察和A/B测试结果，制定产品优化策略，提升搜索转化率、点击率及用户满意度等核心指标。

跟踪行业前沿技术趋势（如大模型、向量检索、语义理解等），探索AI在搜索中的创新应用，构建差异化竞争优势。

与跨境多国团队紧密合作，确保产品方案兼顾本地化需求与平台统一架构，支持Lazada多市场业务发展。

Lead the planning and design of AI-powered search products on the Lazada platform, continuously optimizing search relevance, personalized recommendations, and user experience by aligning user behavior with business objectives.

Deeply understand e-commerce search scenarios and own the end-to-end product lifecycle—from requirement analysis and definition to launch and iteration—driving efficient collaboration among search algorithm, engineering, and operations teams.

Develop product optimization strategies based on data insights and A/B testing results to improve key metrics such as search conversion rate, click-through rate, and user satisfaction.

Monitor cutting-edge technology trends (e.g., large language models, vector retrieval, semantic understanding) and explore innovative AI applications in search to build differentiated competitive advantages.

Collaborate closely with cross-border, multi-country teams to ensure product solutions balance local market needs with platform-wide architectural consistency, supporting Lazada’s multi-market business growth.

本科及以上学历，计算机科学、信息管理、人工智能或相关专业背景。 2、3年以上互联网产品经验，具备搜索、推荐或AI相关产品背景者优先，有电商平台经验尤佳。

熟悉主流AI/ML技术在搜索领域的应用场景，对大模型、语义搜索、用户意图识别等有实践理解。

具备出色的数据分析能力与逻辑思维，能通过数据驱动产品决策，并熟练使用SQL或数据分析工具。

优秀的跨团队沟通与项目推动力，英语可作为工作语言，能适应国际化协作环境。

Bachelor's degree or higher in Computer Science, Information Management, Artificial Intelligence, or a related field.

More than 3 years of internet product experience; candidates with background in search, recommendation, or AI-related products are preferred, especially those with e-commerce platform experience.

Familiar with mainstream AI/ML technology applications in search, with practical understanding of large language models, semantic search, and user intent recognition.

Strong data analysis and logical thinking skills, capable of driving product decisions through data, and proficient in SQL or data analysis tools.

Excellent cross-team communication and project execution abilities; fluent English for professional use and comfortable working in an international collaborative environment.