岗位职责
- 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.
职位要求
- 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。
- 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.
