Trend Micro

Engineering Manager (Magna AI)

Trend Micro Taipei, Taiwan

Computer and Network Security · 5,001-10,000 employees

19 h ago
engineering-manager Principal (10+ yrs) Full-time Taiwan
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About the role

Lead and develop high-performing engineering teams to deliver scalable, business-impactful AI solutions. Partner with stakeholders to drive organizational growth, operational efficiency, and the adoption of AI-driven practices.

What they look for

Engineering Management AI Development Software Engineering DevOps Quality Engineering Data Analysis Stakeholder Management Organizational Leadership Process Improvement Strategic Planning Team Building Automation Business Acumen Change Management Communication

Requirements

Requires proven leadership experience in software engineering, data, or IT organizations with a strong background in modern DevOps and quality practices. Candidates must possess excellent communication skills in both Mandarin and English and a demonstrated ability to drive organizational change.

Full description

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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.

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