Engineering Manager (Magna AI)

Job description

Join Trend ‧ Join New Generation 趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣 =============================================================== Overview At Magna, backed by Trend Micro and Wistron, we are building enterprise AI platforms that move fast. In the AI era, software is no longer developed feature by feature. New capabilities can be generated, integrated, and deployed at an unprecedented speed. As development accelerates, ensuring quality becomes more important than ever. We are looking for an AI Validation Engineer who can redefine how quality is maintained in modern AI-powered systems. This is not a traditional QA role. We are looking for someone who thinks beyond test cases and manual verification. You will work closely with Product Managers, Engineers, and customers to identify risks early, validate complex integrations, and help the team deliver with confidence. Role Summary Magna is seeking Engineering Manager (Y Leader) to steer development teams in delivering solutions that align with our business strategy. This role is ideal for a candidate passionate about people development and organizational growth, as we aim to cultivate future-ready talent. Responsibilities Lead High-Performing Teams: Build, develop, and lead a high-performing organization that delivers reliable, scalable, and business-impactful solutions aligned with company priorities. Drive Business & Technology Outcomes: Partner with business and technical stakeholders to define priorities, align resources, and translate business needs into measurable results. Enable AI-Driven Transformation: Champion the adoption of AI, automation, and data-driven practices to improve productivity, solution quality, and operational efficiency. Foster Execution Excellence: Drive accountability, continuous improvement, and effective delivery across multiple initiatives while balancing strategic and operational objectives. Develop Organizational Capability: Hire, coach, and grow talent while building a culture of ownership, collaboration, innovation, and continuous learning. Qualifications Leadership Experience: Proven experience leading cross-functional teams within software engineering, data, analytics, quality assurance, or information technology organizations. Technical & Delivery Expertise: Strong understanding of software development, quality engineering, service delivery, and modern DevOps practices. Business & Data Acumen: Demonstrated ability to leverage data, metrics, and business insights to drive decision-making and measurable outcomes. Change & Transformation Leadership: Experience leading organizational change, process improvement, or technology transformation initiatives, preferably including AI or automation adoption. Communication & Stakeholder Management: Excellent communication, influencing, and stakeholder management skills, with proficiency in both Mandarin and English. =============================================================== 連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World