职位描述
岗位职责:
负责通过速卖通平台及时、专业地回复海外买家的售前咨询与售后问题(主要使用英语,其他小语种为加分项);
处理订单异常、物流跟踪、退换货及纠纷协调等客户服务工作;
维护良好的客户关系,提升客户满意度与店铺好评率;
收集并反馈客户常见问题及产品建议,协助优化运营流程;
配合团队完成大促期间(如双11、黑五等)的客户服务支持。
任职要求:
专科及以上学历,英语四级以上,具备良好的英文读写能力(能流畅处理英文邮件/站内信);
有跨境电商平台(如速卖通、CD、Worten等)客服经验者优先;
熟悉速卖通后台操作、纠纷处理规则者优先;
具备较强的服务意识、沟通能力和抗压能力;
工作细致、责任心强,能适应快节奏工作环境;
福利多多
【弹性工作制】9:00-18:30 11:30-13:00午休 周末双休
【起床困难户】每月有60分钟迟到机会
【福利补贴】餐补+车费报销+住房补贴+五险一金(全额缴纳)
欢迎有想法的宝子们加入!!
工作地点

工作地点

公司信息
未融资 · 20-99人 · 计算机软件、IT服务、互联网
已审核
公司介绍
About iZENEsoft:IZENEsoft is a core, infrastructure software development company located in Shanghai, wholly owned by Korea Wisenut, Inc. IZENEsoft is primarily engaged in software development of core, infrastructure software solutions. IZENEsoft’s strength and focus includes Internet/Intranet search engine technologies, context-aware efficient keyword search advertisement technologies, information retrieval, data mining, machine learning, statistical learning, distributed systems, and front-end technologies for web infrastructure services and applications. IzeneSoft is especially committed to providing long-term reusable and scalable component-based software solutions. IzeneSoft’s primary communication language for its engineering team is English in order to support its global markets and clients.Korea Wisenut, located in Seoul, Republic of Korea, is a market leader in enterprise search engine industry and a major player in keyword search advertisement industry in Korea. It also provides personalized, community-based search application services through the web site www.izenesoft.comKorea Wisenut has over 600 clients for its products and services and has been rapidly growing since founded in 2000. It was selected by Deloitte Technology as one of the 500 fastest growing companies in Asia Pacific in 2005. Korea Wisenut has been profitable since 2004 and plans to go IPO early in 2010.About Yeogirl Yun:Mr. Yeogirl Yun is a technologist and entrepreneur who is passionate about developing technologies that improve people's lives. Yeogirl has founded 4 companies for the past 10 years in the Internet search engine, e-commerce industry in US, Japan, and Republic of Korea.Yeogirl founded mySimon.com in April of 1998 and served as CTO. Yeogirl raised about $30M in venture capital and was responsible for architecting and developing the mySimon web site. The site scaled to support thousands of e-commerce merchants and set a new standard in comprehensiveness. Yeogirl is the creator of the VLA (Virtual Learning Agent) technology that powered mySimon.com. It was successfully acquired by CNET in February of 2000, for $700M.In 1999, Yeogirl also founded the Wisenut.com search engine company and served as CTO. Yeogirl raised about $10M in venture capital, and built it into one of two search engines that indexed over 1 billion web pages. Wisenut.com was selected by TIME as one of 50 best tech web sites in 2002. Wisenut was successfully acquired by LookSmart in April of 2002.In 2000, Yeogirl also founded Korea Wisenut and served as Chairman. Yeogirl raised about $12M in venture capital. Korea Wisenut is a leading enterprise and web search technology provider in Korea with over 600 corporate clients. In 2005, Korea Wisenut was selected as one of the 500 fastest growing companies in Asia Pacific by Deloitte Technology.In 2004, Yeogirl also founded Become.com and served as Chairman and CTO until March of 2007. Yeogirl raised about $12M in venture capital and led its technology development to create Become.com web site.Yeogirl is one of the inventors of AIR technology that scales Internet link-analysis solution on a vertical domain involving billions of web pages. In 2005, Yeogirl also successfully led the founding and development of Become Japan Corporation, raised $7M in venture capital, and created its web site for Japanese consumers.Yeogirl has a BS degree in Computer Engineering from Seoul National University and a MS degree in Computer Science from Stanford University. He is the winner of the Korean National Scholarship in Computer Science in 1993. Yeogirl is currently serving as Chairman and CTO at Korea Wisenut since August of 2007. iZENEsoft Research and Product introduction:In this information explosion era, the creation of data in internet, intranet or personal computers are increasing at gigantic rate every day. How to effectively organize and find the needed information from the mass data repositories has become a key for competitiveness in business and daily life.iZENEsoft is a core, infrastructure software development company located in Shanghai, wholly owned by Wisenut, Inc in Korea. iZENEsoft aims to build a world-class engineering team and deliver the best technology in organizing and searching the data to help users make informative decisions. iZENEsoft’s strength and focus include Internet/Intranet search engine technologies, data mining, machine learning, distributed systems and front-end technologies for web infrastructure services and applications. Especially, iZENEsoft is committed to providing long-term reusable and scalable component-based software solutions.Search Formula-1(SF-1), one of the key products, is designed to give an integrated solution to find information in a variety of environments, including internet, intranet and personal computers. It is an intelligent search engine which does many data-mining analyses, such as document clustering, duplicate detection, taxonomy generation etc., to deliver the search result to best fit the users’ information need. At the same time, it is built to handle large amount of data in a very efficient manner with effective system resource utilization.Wise Classifier, another core product, is the best tool to automatically classify large scale documents into appropriate categories and gives the user higher level logical view. You can get a quite effective and convenient experience by using WISE Classifier, for example, separate taxonomies can be created for the sales, marketing, human resources, and engineering departments, and documents can be classified automatically to the hierarchy of these taxonomies. This structure information adds a valuable dimension to the content discovery process. iZENEsoft publication:The 32nd international ACM SIGIR conference on Research and development in information retrieval 2009, Jinglei Zhao and Yeogirl Yun published: A proximity language model for information retrieval. Here is the link for more information: http://www.sigir2009.org/Program/papers


