美图集团
海外程序化广告运营
岗位职责
负责海外市场程序化广告平台的运营工作,包括但不限于数据收集、数据分析和业务规划。
管理并优化海外广告平台的投放操作,负责主流聚合平台及各个广告平台的操作。
与产品团队协作,参与产品的开发过程,完成需求对接与反馈,并推动产品功能优化及流程改进。
对所负责的产品测试评估、分析市场趋势,制定相应的优化策略并实施。
监控广告活动表现,分析数据并提出改进建议以实现更好的广告投放效果
任职要求
拥有海外程序化广告运营相关专业背景。
至少3年以上海外程序化广告优化经验。
精通谷歌、Applovin、Meta 等广告平台的操作 · 熟练掌握Excel、SQL等数据分析工具,擅长分析数据 · 具备优秀的英语能力,能用于工作交流。
性格开朗,有良好的跨文化沟通能力,能够与合作团队协作解决问题并推动项目进度。 About Meitu Founded in 2008, Meitu is an AI-driven technology company that carries "beauty" as its core ideal. To "let art and technology converge elegantly", Meitu is developing outstanding products that streamline the production of image, video, and design, while striving to advance industry digitalization through related solutions. Meitu leverages AI in the pursuit of its mission. In 2010, Meitu founded its R&D hub MT Lab, which is dedicated to AI and imaging innovations such as Computer Vision, Deep Learning, and Computer Graphics. As of June 30th 2025, Meitu has 280 million monthly active users globally and 98 million monthly active users outside of Mainland China. About the department Meitu Product & Ops Team is committed to making photos and videos more brilliant and tools more user-centric.With creativity, through planning and ingenious design, we blend warmth into technology to keep delivering world-class imaging experiences. Apply Similar roles No related jobs About Meitu Overview Company History Business Partnerships Corporate Address Contact Us Integrity Reporting Products Meitu BeautyCam Wink Picchi DesignKit Kaipai Kumoo ZCOOL WHEE RoboNeo MVLAND MeituHub EveLab Insight Meidd Meitu AI Open Platform MT Lab Sustainable Development Approach & Highlights Rating Investor Financial Results & Reports Announcements & Circulars Investor Activities Analyst List Corporate Governance Media Center News & Update Asset download Talents Life at Meitu Join Us Careers Follow us Sina Weibo WeChat Meitu official LinkedIn Copyright © 2008-2026 MEITU All Rights Reserved. Telephone report for illegal and harmful information: 400-990-9696
信息来自企业官方招聘渠道
OfferSeek 对公开岗位信息进行聚合、去重和结构化整理,最终申请以企业官方页面为准。
