科技职位招聘信息

We are seeking an experienced Workplace Manager to oversee and optimise workplace operations within the technology industry. This role is based in Shanghai and involves ensuring a productive and efficient environment for employees.

Are you passionate about data and technology? We are seeking a skilled Data Scientist to join our team and help drive innovative solutions in the Supply&Trading industry.

As a Data Excellence Lead, you will drive data-led decision-making within the FMCG industry by digital transformation initiatives. This role is based in Shanghai-Pudong and focuses on fostering a culture of data excellence to support business growth.

• 政企、医疗、制造IT服务销售总监负责推动IT服务销售工作，帮助客户实现数字化转型目标。此职位要求候选人具备出色的销售能力和对行业深耕多年。

• 负责北美市场智能选配商城从0到1的产品搭建，聚焦北美小B/小D分销端的全链路体验优化，深入洞察渠道客户及终端用户需求，持续推动产品流程迭代与本地化能力建设，提升选配完成率与下单转化效率。

我们正在为一家科技与电信行业公司寻找一位经验丰富的语音AI/NLU工程师。此职位要求候选人具备扎实的技术背景，并能专注于自然语言理解和语音AI领域的开发与优化。

This role supports the design, management, and optimization of AI‑enabling and digital innovation platforms used across the organization, partnering closely with IT specialists and business teams. It sits within the technology function of a global financial institution focused on sustainable infrastructure, contributing to the expansion of enterprise AI capabilities.

The Customer Tech Director will oversee technical operations, ensuring seamless service delivery and optimal customer satisfaction in the industrial and manufacturing sectors. This permanent role requires a strategic with a strong background in engineering and manufacturing processes.

We are seeking a talented Full Stack Engineer to join a global company in payment industry. This role requires a skilled individual to contribute to innovative projects and collaborate with a dedicated team.

1、数据分析 - 结合业务痛点通过数据分析找到生意现象的本质原因，及推荐决策和期待的决策效果；

2、发展战略制定 -结合业务发展目标和现今痛点，定位并量化业务未来的发展主要动力，能制定未来短期中期和长期业务发展规划和战略，用数据指导业务发展战略；

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.

• Digital Product Strategy and Roadmap:
• Digital Product Development:
• Product Go to Market
• Team Leadership and Management

• Develop and maintain data models that align with business requirements and technical constraints.
• Collaborate with cross-functional teams to define data architecture strategies.
• Ensure data integrity, security, and compliance with industry standards.
• Lead data integration projects and manage data migration activities.

• You will work on various aspects of Big data analytics and development, Data Management, Governance and Information Architecture.
• Design and develop data solution architecture on scalability, good performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption
• Define and prioritise product requirements, user stories, and acceptance criteria for data and analytics products and ensure what was agreed gets delivered

This position will report to department head directly and work as an expert to support sales team

Need facing client and give solutions

作为生产支持负责人，您将负责支持金融服务行业的技术操作，确保系统的稳定运行和问题快速解决。此职位需要在广州工作，并熟悉技术支持和系统维护相关流程。

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).

1. 负责集团相关数据产品的可视化系统设计，将数据资产化，发挥数据价值；
2. 协助各BI报表的出具，保证数据质量。
3. 规划及管理相关数据产品，主导梳理集团各业务域版块的核心指标设计

负责软件研发中心技术战略规划和管理(专注于软件研发、软件效率提升，及数字化业务及技术创新); 洞察数字化技术和软件趋势，结合自身业务模式引导数字化技术战略方向; 对接BU与客户数字化需求，制定技术通用组件路线图并推进内部复用和实践;


• 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.