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金融服务行业 产品经理职位

  • AI产品经理 - 深圳 - 金融机构

    深圳市
    全职
    RMB450,000 - RMB550,000 年薪

    该岗位是金融服务行业技术部门的一部分，主要负责AI产品的开发与优化。我们正在寻找能够推动人工智能技术创新的专业人士，加入位于深圳的团队。

    • 知名的平台
    • 广阔的发展空间
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  • 销售总监-高净值

    深圳市
    全职
    RMB600,000 - RMB700,000 年薪

    销售总监职位需要具备卓越的销售策略制定能力，以及在高奢品类行业内的丰富经验。候选人将负责推动销售团队的业绩增长，并确保公司目标的实现。

    • 知名高奢品类公司
    • 高净值客户销售负责人
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  • Globally well-known tech company - Senior Data Scientist, NLP

    上海市
    全职
    RMB40 - RMB55 月薪 (RMB480 - RMB660 年薪)
    • UtilizeUtilize advanced data analysis, modelingmodeling, and machine learning techniques to develop predictive and prescriptive models that drive business outcomes.
    • Develop and implement machine learning algorithms and artificial intelligence solutions to address complex business problems.
    • Keep abreast of the new trends and technologies in data science to contribute to the development of innovative solutions.



     

    • Globally well-known platform
    • Career development
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  • Product Manager - derma skincare brand

    上海
    全职
    RMB350,000 - RMB500,000 年薪

    Own the "zero‑to‑one" product journey for the Chinese market: screen, plan, and introduce suitable product lines from the global portfolio. Lead the full cycle from product concept development and localization execution to launch support, ensuring strong competitiveness and full compliance with Chinese regulation.

    • A Global dermo‑cosmetic brand
    • Own the "zero‑to‑one" product journey for the Chinese market
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  • Data Product Manager- Global Lifestyle Brand

    上海
    灵活
    RMB27,000 - RMB33,000 月薪 (RMB324,000 - RMB396,000 年薪)

    This is an exciting opportunity for a Data Product Manager in the retail industry to lead data-driven initiatives and optimise product performance.

    • Drive data product innovation in a purpose-led, global lifestyle brand
    • Support business growth through impactful and scalable data solutions.
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  • Globally Sporty Company - Data Product Manager

    上海
    全职

    Job Responsibilities:

    • Data Analysis: Perform in-depth data analysis to identify trends and insights.
    • Product Development: Drive the development of data-driven products and services.
    • User Experience: Ensure data products meet the needs of end-users and enhance their experience.



    • Globally Sporty Company
    • Work from home or remote, open culture, oversea travel
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