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Product Validation Manager

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Summary

Leads the end-to-end Product Validation function, managing a multi-site validation engineering team (Taipei/Austin) across multiple programs. Owns validation strategy and methodology, project delivery through phase gates, quality metrics, infrastructure, and drives automation and AI-assisted testing.

The Function Manager is responsible for leading the end-to-end capability, execution excellence, and organizational growth of the Product Validation (PV) function. This role owns multi-project delivery, resource strategy, and validation methodology, ensuring alignment with customer expectations and company objectives across global sites (e.g., Taipei / Austin).

【ESSENTIAL DUTIES & RESPONSIBILITIES】

  • Lead and develop a high-performing PV engineering team across multiple sites
  • Define organizational structure, hiring plan, and capability roadmap
  • Establish mentoring and succession planning to build future leaders
  • Drive a culture of accountability, quality, and continuous improvement
  • Define and standardize validation methodology, processes, and best practices
  • Own validation strategy across multiple programs (coverage, scope, approach)
  • Govern project execution to meet phase gate and release requirements
  • Own headcount planning, skill mix optimization, and workload balancing
  • Ensure sufficient validation infrastructure (systems, tools, environments)
  • Drive cross-site execution model (Taipei / Austin) for scalability
  • Define and track key quality and execution metrics, including:
  • Validation coverage completeness
  • Defect detection effectiveness and escape rate
  • Test cycle time and execution efficiency
  • Ensure projects achieve validation exit criteria and release readiness
  • Lead executive-level technical reviews, risk discussions, and escalations
  • Ensure clear communication of status, risks, and mitigation plans
  • Define and drive automation and tool strategy aligned with business ROI
  • Partner with Automation / AI/ML teams to improve productivity and coverage
  • Drive innovation in validation methodology (e.g., automation, AI-assisted testing)

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