Quick Summary
Requirements Summary
Bachelor's degree in Engineering (Mechanical, Electrical, or Industrial) or related field (orforeign degree equivalent). At least 8 years of experience in quality engineering, failure analysis,
Technical Tools
OtherQuality Manager
Field Quality Manager (Full-Time)
Boston, MA
Duties:
Collaborate with global manufacturing partners to ensure consistent product quality and drive
continuous quality improvements across our manufacturing sites. Responsible for overseeing
sustaining quality improvement, managing the Early Field Failure Analysis (EFFA) program,
leading failure analysis of field returns, and ensuring effective use of quality analytics to drive
corrective actions and process improvements. Conduct periodic audits and drive
corrective/preventive actions (CAPA) to mitigate risks. Work closely with contract
manufacturers, suppliers, and internal stakeholders to improve product quality and reliability.
Lead and manage a team of field quality engineers to drive quality initiatives across multiple
sites. Develop and manage the Early Field Failure Analysis (EFFA) program to identify root
causes of early-life failures. Oversee Level 0 and Level 1 failure analysis and escalate complex
failures for deeper investigation. Implement structured 8D, Fishbone, and DMAIC
methodologies for failure analysis and resolution. Manage and mentor failure analysis teams to
ensure structured problem-solving and knowledge-sharing. Lead data-driven quality
improvement efforts by analyzing field return data, manufacturing defect trends, and customer
feedback. Develop and maintain dashboards and KPIs to track field quality performance. Work
with engineering and operations teams to translate failure insights into design and process
improvements. Partner with Product Design, NPI Hardware Quality, Reliability Engineering, and
Operations to enhance product durability and manufacturability. Provide technical guidance on
failure mechanisms and drive corrective actions with engineering teams. Support supplier and
contract manufacturer quality teams in resolving systemic issues.
continuous quality improvements across our manufacturing sites. Responsible for overseeing
sustaining quality improvement, managing the Early Field Failure Analysis (EFFA) program,
leading failure analysis of field returns, and ensuring effective use of quality analytics to drive
corrective actions and process improvements. Conduct periodic audits and drive
corrective/preventive actions (CAPA) to mitigate risks. Work closely with contract
manufacturers, suppliers, and internal stakeholders to improve product quality and reliability.
Lead and manage a team of field quality engineers to drive quality initiatives across multiple
sites. Develop and manage the Early Field Failure Analysis (EFFA) program to identify root
causes of early-life failures. Oversee Level 0 and Level 1 failure analysis and escalate complex
failures for deeper investigation. Implement structured 8D, Fishbone, and DMAIC
methodologies for failure analysis and resolution. Manage and mentor failure analysis teams to
ensure structured problem-solving and knowledge-sharing. Lead data-driven quality
improvement efforts by analyzing field return data, manufacturing defect trends, and customer
feedback. Develop and maintain dashboards and KPIs to track field quality performance. Work
with engineering and operations teams to translate failure insights into design and process
improvements. Partner with Product Design, NPI Hardware Quality, Reliability Engineering, and
Operations to enhance product durability and manufacturability. Provide technical guidance on
failure mechanisms and drive corrective actions with engineering teams. Support supplier and
contract manufacturer quality teams in resolving systemic issues.
Requirements:
Bachelor's degree in Engineering (Mechanical, Electrical, or Industrial) or related field (or
foreign degree equivalent). At least 8 years of experience in quality engineering, failure analysis,
or field reliability within a high-volume manufacturing environment. At least 8 years of
experience with FA methodologies (5Why, 8D, DOE, Pareto Analysis and FMEA); At least 8
years of experience with failure analysis tools including X-ray, FTIR, SEM/EDS, and thermal
analysis; At least 8 years of experience with data analytics and statistical software (JMP, Minitab,
Python, SQL, or similar); At least 8 years of experience working with contract manufacturers
and suppliers in global regions; At least 8 years of experience managing projects and driving
cross-functional initiatives; At least 8 years of experience with Six Sigma or Lean Manufacturing
methodologies; At least 8 years of experience with ISO 9001, 13485, and regulatory compliance
requirements; At least 3 years of experience managing and developing teams in consumer
electronics, wearables, or medical device industry.
foreign degree equivalent). At least 8 years of experience in quality engineering, failure analysis,
or field reliability within a high-volume manufacturing environment. At least 8 years of
experience with FA methodologies (5Why, 8D, DOE, Pareto Analysis and FMEA); At least 8
years of experience with failure analysis tools including X-ray, FTIR, SEM/EDS, and thermal
analysis; At least 8 years of experience with data analytics and statistical software (JMP, Minitab,
Python, SQL, or similar); At least 8 years of experience working with contract manufacturers
and suppliers in global regions; At least 8 years of experience managing projects and driving
cross-functional initiatives; At least 8 years of experience with Six Sigma or Lean Manufacturing
methodologies; At least 8 years of experience with ISO 9001, 13485, and regulatory compliance
requirements; At least 3 years of experience managing and developing teams in consumer
electronics, wearables, or medical device industry.
Up to 30% travel is required to visit company’s international manufacturing plants.
Salary: $140,000/year -$190,000/year
Location & Eligibility
Where is the job
Boston, United States
On-site at the office
Who can apply
US
Listing Details
- Posted
- June 12, 2026
- First seen
- June 12, 2026
- Last seen
- June 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- June 12, 2026
Signal breakdown
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Whoop
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WHOOP is the performance optimization system that helps elite athletes and teams win.
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