Product Manager jobs in Technology

数字产品经理负责在工业/制造行业中管理和优化数字产品，确保产品在技术和用户体验上都达到高标准。您将与团队合作，推动数字化转型并实现公司目标。

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.

• Take on the role of a hands-on engineering manager, owning tech scoping, backend architectural design, and up to date AI-centric initiatives. Mentor other engineers in deploying enhancements to the primary product.
• Collaborate with product teams, marketers, data analysts, and other engineering teams to execute highly cross functional and time sensitive projects.

The Digital Product Manager will lead the development and optimisation of digital solutions to enhance customer experience and drive business growth in the retail industry. Based in Shanghai - Jingan, this role requires strong expertise in managing digital products within the technology space.

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

You will bridge data science, marketing technology, and business strategy to optimize customer acquisition, engagement, and omni-channel experiences. By unifying customer data, media analytics, and AI-driven insights, you'll orchestrate personalized journeys across digital and physical touchpoints (e.g., media, e-commerce, retail).

作为一名位于广州的AI产品经理，你将围绕快消品业务梳理产品需求，推动AI产品从规划到落地，帮助业务更高效地使用技术能力。你将与技术团队及相关业务方保持沟通，明确产品方向、功能优先级和交付标准。

AI产品经理负责推动人工智能产品的开发和优化，确保产品满足市场需求并为客户提供价值。工作地点为北京，您将加入技术与AI的专业团队，致力于技术创新与发展。

该职位负责APP整体产品规划、用户资产体系建设及会员生态运营，通过数据驱动持续优化用户体验与商业价值。

候选人将带领产品团队制定产品路线图，推动核心功能迭代与跨部门协同，打造统一的用户经营平台。

该岗位负责财经领域数据产品的规划、设计与落地，包括智能分析、BI看板、自动化报表及风险预警等场景建设。候选人将结合财务专业知识与数据分析能力，推动财务数据资产建设，提升企业数据应用效率和决策质量。

该岗位聚焦用户全生命周期管理系统建设，负责数据产品核心模块规划，包括数据体系、标签体系、数据服务及权限管理能力建设。

候选人将与数据研发团队紧密合作，通过数据产品能力支撑智能营销、用户运营及业务增长。

作为一名AI产品经理-ToB，您将负责规划和管理AI技术相关产品的全生命周期，确保产品在技术和市场中的竞争力。

负责企业AI产品及智能应用平台的运营推广、需求管理及用户增长工作，推动AI能力在研发、业务拓展、专业服务及商业运营等场景中的落地应用。与业务及技术团队紧密协作，挖掘业务需求，推动产品持续优化，提升用户活跃度和业务价值，实现AI应用规模化推广。