Product Quality Manager

Apple Apple · Big Tech · Cupertino, CA · Operations and Supply Chain

Product Quality Manager for Beats and Apple accessories, with a focus on evolving into AI-driven quality systems. This role will leverage data, automation, and predictive analytics to proactively identify and mitigate potential failures, ensuring products meet Apple's quality standards throughout their lifecycle. The role involves cross-functional collaboration and requires strong technical, presentation, and organizational skills.

What you'd actually do

  1. Support entire program development cycle, from design concept through program end of life
  2. Own product quality planning and execution across incoming quality, in-line quality, outgoing quality, ongoing reliability testing, and field quality
  3. Establish new methods for monitoring and reporting status, including Incoming Quality Control (IQC), Outgoing Quality Control (OQC), and Ongoing Reliability Testing (ORT)
  4. Develop and implement user testing to ensure compatibility with other systems, identify potential problems, and help engineering teams implement solutions
  5. Plan field quality readiness for new product launch partnering with AppleCare and engineering, including planning and driving Early Field Failure Analysis (EFFA)

Skills

Required

  • Technical degree in Mechanical, Electrical, Materials Science, or Industrial Engineering or equivalent
  • High volume manufacturing experience with a detailed understanding of advanced product quality planning, production processes, testing, kitting, and packaging
  • Proficiency in GD&T, metrology, and measurement equipment and techniques
  • Experience with statistical techniques including SPC, sampling AQLs, measurement system analysis (GR&R), process capability (Cpk)
  • Problem-solving skills utilizing quality tools and capable of identifying the root cause of challenging problems and implementing corrective actions with stringent deadlines
  • Strong proficiency in JMP and/or Minitab, including statistical analysis, SPC, regression, process capability, and visualization
  • Discriminating eye for demanding cosmetic categorization and supplier inspection
  • Able to build relationships and lead by influence
  • Effective interpersonal and communication skills with the ability to manage and drive issues to closure
  • Knowledge of Quality Systems, Design of Experiments, Reliability Methods/Models

Nice to have

  • Exposure to Python, data analytics, or AI/ML concepts
  • Experience working with automated inspection or smart manufacturing systems
  • Understanding of data pipelines, MES systems, or IoT-enabled manufacturing
  • Interest in building AI-driven quality systems and automation workflows
  • A Master’s degree in Engineering is considered a plus

What the JD emphasized

  • evolve into AI-driven quality systems initiatives
  • leverage data, automation, and predictive analytics to proactively identify and mitigate potential failures
  • Lead data-driven approaches to failure analysis, identifying root causes, implementing, and validating preventive and corrective actions