阿里巴巴Alibaba-Discovery & Browsing Experience Product Manager-Seoul
任职要求
- 5+ years as a Product Manager in e-commerce, content platforms, or consumer apps with a focus on discovery, recommendation, or feed products. - Data Fluency: Strong analytical skills with experience in user segmentation, cohort analysis, and recommendation metrics (CTR, precision/recall, diversity indices). - Algori…
工作职责
- Personalized Discovery: Partner with ML engineers to shape recommendation algorithms. Define product features that make personalization tangible—from homepage feeds to "You May Also Like" modules. - Content-Commerce Fusion: Design experiences that blend inspirational content (videos, reviews, style guides) with shoppable products. Think Instagram meets Amazon. - Navigation Architecture: Reimagine category browsing beyond traditional trees. Create dynamic collections, trending sections, and smart filters that adapt to user context. - Experimentation Framework: Run continuous A/B tests on layouts, algorithms, and content strategies. Balance metrics like CTR, diversity, session time, and downstream conversion. - Cross-Category Discovery: Design features that help users discover complementary products across categories (outfit building, room decoration, gift bundles).
Join a dynamic team of designers, content strategists, and user researchers working on Alibaba’s global B2B e-commerce platform, Alibaba.com. We collaborate closely with product and business teams to create a top-tier online marketplace for businesses in regions like North America, Europe, and Southeast Asia. Alibaba.com is the original business of Alibaba Group, launched in 1999, and we’re focused on continuously improving it to better serve our global customers. As a Senior UX Researcher, you will be responsible for creating, driving, and implementing research plans to discover actionable insights for creating the user experience for web-based applications and mobile devices. You will deliver the right user insights at the right time, helping project team to create digital products that are good for users and good for business. You will use your deep understanding of the methods and best practices of user research to experiment with mixed methods research to generate unique user insights and drive product innovation. You will mentor junior team mates to deliver high-quality outputs while working effectively on managing stakeholders, overlapping projects, and competing priorities. Responsibilities: • Drive ideas to improve products and services through research-driven insights and recommendations. • Independently design and execute research studies with effective research methods (e.g., desk research, interviews, focus groups, usability testing, surveys, competitive analysis, etc.), representative participant profiles, and efficient recruiting strategies. • Proactively review and perform data analysis to extract insights and actionable recommendations from qualitative or quantitative data, and collaborate with teams to translate insights into product and business impact. • Present your work at research critique sessions to collect constructive feedback from the team and leadership. • Collaborate with designers, engineers, and product managers throughout the research, design, and product development processes. • Organize post-mortem reviews of your projects with collaborating teams, reflect on outcomes, and proactively suggest improvements. • Through knowledge sharing, leading by example, and constant learning, contribute to the team’s professional growth and development. • Constantly learn and implement AI in the workflow to enhance research efficiency, and proactively identify and suggest new tools for the team. • Effectively identify and implement new ways to conduct research, grow the team’s influence, and create impact.
Key Responsibilities 1. Design and build batch/real-time data warehouses to support overseas e-commerce growth 2. Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability 3. Build unified data middleware layer to reduce business data development costs and improve service reusability 4. Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions 5. Discover data insights through collaboration with business owner 6. Participate in AI-driven efficiency enhancement initiatives, collaborating on machine learning algorithm development, feature engineering, and data processing workflows
기업 및 포지션 소개 알리바바닷컴(Alibaba.com)은 전 세계 4,000만 이상의 바이어와 셀러를 연결하는 글로벌 최대 규모의 B2B 무역 플랫폼이자, 알리바바그룹(Alibaba Group)의 첫 번째 계열사입니다. 관 K-상품에 대한 글로벌 수요가 빠르게 증가하는 가운데, 2024년 한국 지사를 설립하고 해외 판로가 필요한 국내 기업들의 온라인 수출을 본격적으로 지원하고 있습니다. Sales Manager는 B2B 세일즈, 무역, 이커머스에 대한 전문성을 바탕으로 수출 유망 기업을 발굴하고, 자사 플랫폼을 통해 고객의 글로벌 진출을 지원하는 역할을 수행합니다. 주요 역할 ● 잠재 고객 발굴 (Lead Prospecting): 콜드콜, 세미나, 전시회, 파트너십 등 다양한 아웃바운드 활동을 통해 신규 B2B 리드를 발굴합니다 ● 맞춤형 솔루션 제안 (Sales Proposal): 고객의 니즈와 글로벌 시장 분석을 기반으로 Alibaba.com 솔루션(연간 멤버십, 디지털 광고, 운영 지원 서비스 등)을 제안하고 플랫폼 입점 계약을 체결합니다 ● 수출 컨설팅 (Export Consulting): 온보딩 교육, 운영 진단, 바이어 발굴 전략 제시를 통해 담당 고객의 온라인 수출 프로세스를 가이드합니다 ● 고객 관리 (Account Management): 고객 라이프사이클 전반에 걸쳐 리텐션/업셀링 활동을 수행하며 장기적인 파트너십을 구축합니다 ● 업무 고도화 (Sales Enablement): 팀의 전문성과 생산성을 높이기 위해 세일즈 프로세스를 개선·표준화하고, 노하우·성공 사례를 확산합니다. 职位概述（Position Overview） 阿里巴巴国际站（Alibaba.com）是全球最大的B2B贸易平台，连接全球超过4000万买家与卖家，也是阿里巴巴集团的第一家子公司。随着全球对K-产品的需求迅速增长，阿里巴巴国际站于2024年正式设立韩国分公司，全面支持有海外销售需求的本土企业开展线上出口业务。 此次招聘的 “销售经理（高级客户经理）” 将以其在B2B销售、国际贸易及电商领域的专业经验为基础，发掘具有出口潜力的企业，并通过阿里巴巴国际站平台支持其拓展海外市场。 岗位职责（Job Description） ● 潜在客户开发（Lead Prospecting）： 通过电话销售、研讨会、展会、合作伙伴等多种外部渠道，积极拓展新的B2B客户线索 ● 方案提案（Sales Proposal）： 基于客户需求与全球市场分析，向客户推荐Alibaba.com的解决方案（年费会员、数字广告、运营支持服务等），并完成签约 ● 出口咨询（Export Consulting）： 通过入驻培训、数据分析与运营诊断，为客户提供系统化的线上出口流程指导，制定海外买家开发策略 ● 客户管理（Account Management）： 全面管理客户生命周期与销售漏斗，开展客户留存与增购活动，建立长期合作关系 ● 业务提升（Sales Enablement）： 持续优化和标准化销售流程，推动团队专业能力和生产效率提升，分享销售经验与成功案例
- Drive User Acquisition - Optimize user acquisition funnels across all channels by designing landing pages, referral programs, and viral loops that reduce CAC while scaling volume efficiently. - Maximize User Activation - Own the onboarding experience and define the critical "Aha moment." Ensure new users experience core product value within their first session to establish immediate engagement. - Boost User Retention - Build habit-forming features and engagement loops through strategic push notifications, email campaigns, and in-app prompts that drive consistent user return and long-term engagement. - Scale Experimentation - Run 10+ experiments weekly and cultivate a data-driven testing culture across all elements—from UI components to complete user flows. Base all decisions on statistical significance rather than opinions. - Cross-functional Leadership - Partner with Engineering, Data Science, Marketing, and Design teams to rapidly ship growth features at startup speed within a larger organizational structure.