CakeResume 找工作

KKTIX is one of the few ticket sales platforms that can sell large-scale high user-traffic concerts in Taiwan. It is also a SaaS event management platform that allows organizers to host and sell tickets for their programs and activities. Furthermore, it takes first place on the average number of tickets sold per second in Taiwan. KKTIX is committed to helping organizers organize their events business more efficiently and helping customers find out various exciting activities

＊請直接至 Hahow 官網應徵 https://reurl.cc/lgMGdd ，填寫資料並附上個人的設計作品集網址（須展現設計與思考過程） 我們通常會在兩週內通知合適者進行面試；若不符合資格，將不另行通知。 工作說明 Hahow

「2024擴大招募！」 行銷團隊的目標是提升高曼集團的品牌形象，創造產品及服務的市場知名度。行銷企劃實習生將專注於公司行銷策略制定與規劃，依策略建立客戶對本公司及產品服務的認知，幫

投遞履歷請一律至專屬的職缺網頁： https://25sprout.teamdoor.io/s/xigYWsPD 25sprout 2024 實習生計畫正式啟動囉！ 實習生計畫已來到第十一屆，很開心在歷年的招募計劃中，都能找到非常優秀的實習生與新芽一同

【What you’ll be doing】 - You will be responsible for our EC product, specialize in Ads and traffic direct: https://bit.ly/3G9snF4 - Focusing on managing third party ADs platforms such as: Meta, Google, Line, in order to assist merchants in acquiring external traffic to optimize online and offline business - Drive innovation in product development with a team of world-class engineers and designers - Research to understand our users’ needs, and translate them into solutions

『品牌行銷企劃』這個職務是肩負著從360全方位的整合行銷面向來擴張品牌知名度的關鍵角色！如果你對自己充滿信些，覺得自己常有好Idea想要讓更多人看到，也熱愛整合行銷的多變性以及充

1. 負責主管工作行程之規劃安排、行事曆統籌，並隨行陪同。 2. 整理簽核文件及發送，並負責追蹤執行狀況，隨時掌控進度。 3. 協助進行跨部門、跨廠商間的溝通協調與會議召集。 4. 協助經營

KKTV is one of Taiwan's very own OTT streaming services, with a vast library of dramas, movies and anime from countries like Japan, Korea, Thailand, Taiwan, Hong Kong and China. We've been at it since October 2016, and our mission has always been to deliver the smoothest viewing experience and provide the most friendly user experience for our users. We're on the lookout for passionate and creative partners who are interested in the OTT industry

1.主要工作內容是在主管旁邊處理私人事務。 2.協助處理主管交辦事務，要能即時反應。 3.需要協助飲食、生活起居、日常採買等。 4.接送主管外出洽公、配合例假日用車需求。 5.維持整理

協助前瞻深度學習、機器學習算法的開發及優化 數據採集、標註前、後處理及算法開發與測試