工业 制造职位 - 中国地区

Lead the Shenzhen plant to drive plant performance and operational transformation

统筹负责工程机械行业全球市场研究与分析，洞察分析全球各国的宏观经济、营商环境、政治环境，行业发展趋势、技术环境、市场容量和格局，客户需求、同行竞品，公司产品研发和生产策略、大客户策略、营销策略、渠道策略、后市场配件和服务策略、人才策略，市场融资和风控环境等。

根据公司整体战略，制定国际业务的发展战略和计划，以确保公司在国际市场上的竞争优势和持续发展。主导国际市场的布局和拓展工作，寻找新的业务机会，开拓新市场，并于合作伙伴和客户进行紧密沟通和协商，以维护和发展良好的客户关系。

#GoGolobal

This individual will be responsible for sales performance, maintaining customer relationships, expanding into new business areas, and ensuring that sales strategies are aligned with the company's strategic objectives.

Works closely with Sales Director to identify actions and priorities for the assigned KAs.

With a strong portfolio of advanced products serving various industries, we are seeking an experienced and dynamic Plant Manager to lead our production facility to new heights of efficiency, safety, and profitability.

The position will be responsible for growing the share position in diverse industries with the automotive companies within China. The position will report the Senior Manager, Conveying and construction Industry.

• Responsible for the revenue generation
• Directs sales and local sales administration resources

1. Develop, manage and implement TUVR Greater China EM plan, including programming design and coordination of seminars, fairs and special events in order to support GC Marketing director on GC Events strategies in order to effectively promote TUVR brand image and services.
2. Plan and oversee the implementation of EM plan, resource management and control the budgets

作为企业的人力资源总监，全面负责企业人力工作。

* 端到端产品落地：从需求洞察、产品定义、开发跟进到量产上市，完整负责一条人形机器人产品线，确保功能、成本与交付周期达到既定目标。
* 跨学科协同枢纽：作为软硬件、算法、供应链、市场与客户之间的桥梁，用一致的产品语言和度量指标推动团队高效决策。

* 统筹全生命周期质量测试：从原型机到批量交付，建立覆盖硬件、软件、算法、安全的测试体系，确保机器人在运动控制、视觉识别、语音交互、电池管理等关键场景下的稳定性与可靠性。
* 打造高效测试团队：组建并管理 20+ 人跨学科测试团队，制定流程规范、自动化框架与度量指标，推动缺陷闭环周期≤24 小时，持续降低现场故障率。

• Lead and manage sales activities including Geely/Volvo/Polestar, JLR and SGM/SAIC, as well as new customer development.

• 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.

We are seeking a dynamic and experienced Project Manager to lead the development and execution of new chemical plant investment projects with a minimum investment scale of 300 million RMB in Shanghai. The successful candidate will be responsible for managing all project phases from inception to completion, ensuring timely delivery, cost-effectiveness, and adherence to quality and safety standards.

• Managed of direct and indirect vertical sales resources (Indirect could be Internal & External).
• Identification of Industries & Applications inside of a Vertical.
• Drive a balanced scorecard globally, for the Vertical.
• Assessments of direct resource's skillsets + development plan.

• Managed of direct & indirect regional sales resources (Indirect could be Internal & External)
• Drive a balanced scorecard in the region

The product manager works closely with all in- and external stakeholders to provide profitable growth and increase market share. The Product Manager reports to the Director of Marketing APAC/EMEA, in matrix with the local Marketing & Sales Director APAC.

1. Global company with very stable business development in APAC.

2. Transparent company culture, great internal career development platform.

As the Systems Engineering Head, you will be responsible for overseeing and executing advanced system-level design, development, integration, and validation activities for our interior HMI buttons, digital keys, and battery power management systems. You will lead a team of engineers to ensure the high quality and reliability of our products, while meeting the demanding requirements of the automotive industry.

• 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