Data and AI Expertise: Develop a deep understanding of data and knowledge management, and stay at the cutting edge of trends in ML/DL, LLMs, and AI to drive innovation and product development.
Client and Cross-Team Collaboration: Demonstrate excellent client communication skills and foster cross-team alignment and collaboration.
Problem Solving and Innovation: Identify both explicit and implicit pain points with deep insight, proposing innovative solutions that drive core user value and business growth.
Collaboration with Engineering: Work closely with engineering teams to scale AI-driven solutions effectively and efficiently, addressing and resolving issues during the development and acceptance process for continuous optimization and enhancement.
Product Development and Improvement: Organize, analyze, and prioritize product iteration requirements, leading product planning and continuous improvement initiatives.
Data Analysis and Feedback Integration: Monitor product data, conduct detailed data analysis, and integrate feedback from business units and users to refine product design and strategy.
skills and experience required.
Bachelor's degree or higher in computer science or related engineering disciplines, with at least three years of experience as a data scientist or software engineer.
Strong communication skills are essential, with the ability to articulate requirements clearly and effectively.
Fluent English is required, reading and writing capability in Japanese. Proficiency in spoken Japanese and is a great plus.
Comprehensive understanding of the internet product lifecycle, including demand analysis, product design, technical development, and testing acceptance. Proven ability to independently lead and complete product output.
Passionate about the AI industry, with a commitment to keeping up with the latest trends and technical developments, and a dedication to continuous learning and professional growth.
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about the company. Technology
about the team. Product
about the job.
Data and AI Expertise: Develop a deep understanding of data and knowledge management, and stay at the cutting edge of trends in ML/DL, LLMs, and AI to drive innovation and product development.
Client and Cross-Team Collaboration: Demonstrate excellent client communication skills and foster cross-team alignment and collaboration.
Problem Solving and Innovation: Identify both explicit and implicit pain points with deep insight, proposing innovative solutions that drive core user value and business growth.
Collaboration with Engineering: Work closely with engineering teams to scale AI-driven solutions effectively and efficiently, addressing and resolving issues during the development and acceptance process for continuous optimization and enhancement.
Product Development and Improvement: Organize, analyze, and prioritize product iteration requirements, leading product planning and continuous improvement initiatives.
Data Analysis and Feedback Integration: Monitor product data, conduct detailed data analysis, and integrate feedback from business units and users to refine product design and strategy.
...
skills and experience required.
Bachelor's degree or higher in computer science or related engineering disciplines, with at least three years of experience as a data scientist or software engineer.
Strong communication skills are essential, with the ability to articulate requirements clearly and effectively.
Fluent English is required, reading and writing capability in Japanese. Proficiency in spoken Japanese and is a great plus.
Comprehensive understanding of the internet product lifecycle, including demand analysis, product design, technical development, and testing acceptance. Proven ability to independently lead and complete product output.
Passionate about the AI industry, with a commitment to keeping up with the latest trends and technical developments, and a dedication to continuous learning and professional growth.
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about the company.互联网金融about the team.运营中台about the job.1. 业务管理:面向BU整体业务目标,对关键业务指标进行分解设计;周期性追踪业务指标进展达成,对业务过程进展进行诊断分析,识别和预警目标达成风险;针对存在进展问题的行业/团队/行下钻分析,定位影响因素,提出改进建议2. 重点项目管理:业务方案和行业策略制定后, 在落地和实施的业务, 需要对重点合作的商户或落地项目进行端到端的业务流程的管理,确保重点项目在样板客户/样板项目落地时, 按时按质进上线/合作;基于中台站位横向拉通各协同方,协调内部资源分配和优先级管理,支持业务团队高效推动项目开展;识别项目运行过程中的关键卡点,通过协同和沟通机制推动解决3. 流程机制管理:面向一线业务过程和项目开展,梳理建立合理的业务流程和提效方案,协同中后台团队,提升业务作业效率。在支持业务高效运转的同时,基于中台站位,监督业务团队按既开展业务动作,对过程中存在的问题和风险进行及时纠偏 skills and exper
about the company.某头部数字营销科技公司about the team.AIabout the job.1、产品战略制定:结合业务目标和市场趋势,制定AI产品战略和发展路线图;2、参与海外营销广告与Al Agent方向的研究,紧跟前沿,致力于构建行业先的AI Agent应用;3、负责与技术团队协作,提升AI生成内容的准确性和相关性,优化Agent模型,提高系统整体的性能;4、项目交付工作,包括智能体设计,搭建以及调优,工作流建设。 skills and experience required.1、计算机科学、软件工程、人工智能等相关专业硕士学历及以上;2、有8年以上相关产品经理工作经验,熟练掌握python、prompt engineering和agent框架相关技术;3、熟练使用用Agent infra平台例如Dify/Coze/搭建过Agent、Workflow者优先;4、较强的沟通和团队协作能力,能够与不同部门的人员有效合作;5、有广告行业相关经验者优先
about the company.某头部数字营销科技公司about the team.AIabout the job.1、产品战略制定:结合业务目标和市场趋势,制定AI产品战略和发展路线图;2、参与海外营销广告与Al Agent方向的研究,紧跟前沿,致力于构建行业先的AI Agent应用;3、负责与技术团队协作,提升AI生成内容的准确性和相关性,优化Agent模型,提高系统整体的性能;4、项目交付工作,包括智能体设计,搭建以及调优,工作流建设。 skills and experience required.1、计算机科学、软件工程、人工智能等相关专业硕士学历及以上;2、有8年以上相关产品经理工作经验,熟练掌握python、prompt engineering和agent框架相关技术;3、熟练使用用Agent infra平台例如Dify/Coze/搭建过Agent、Workflow者优先;4、较强的沟通和团队协作能力,能够与不同部门的人员有效合作;5、有广告行业相关经验者优先
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