Product Quality Manager

About the Team
The Product Quality team at OpenAI is responsible for ensuring that every hardware product we build meets the highest standards of reliability cosmetic fit & finish and overall user experience. We partner closely with design reliability operations and manufacturing teams worldwide to establish scalable quality systems from early development builds through mass production and field performance.

About the Role
As a Product Quality Manager (PQM) you will be our in-region quality leader driving product quality execution across multiple global manufacturing sites. Youll partner tightly with cross-functional teams in the United States and abroad as well as with contract manufacturers and key component suppliers to ensure that every build stage meets OpenAIs uncompromising standards. This role requires deep technical expertise strong leadership and an ability to operate effectively in fast-paced hands-on environments.

In this role you will:

• Drive in-region quality execution across multiple manufacturing sites ensuring builds meet reliability cosmetic and user experience standards.

• Build and scale quality management systems (QMS) spanning development validation builds ramp and mass production.

• Provide day-to-day quality support and guidance to contract manufacturers and suppliers.

• Oversee quality labs and test infrastructure including IQC OQC ORT in-line inspections and other test processes.

• Aggregate and analyze manufacturing test and field data to build real-time dashboards and surface top quality issues.

• Lead root cause investigations corrective/preventive actions and continuous improvement initiatives.

• Partner with support teams to reduce field return rates and improve the customer experience.

• Plan and execute audits to confirm adherence to OpenAI standards SOPs and regulatory requirements.

• Communicate quality status clearly to cross-functional stakeholders escalating issues rapidly when needed.

• Capture lessons learned to feed forward into design supplier selection and future product improvements.
  

You might thrive in this role if you:

• Have 10 years of experience in product quality manufacturing quality operations or hardware engineering for high-volume consumer electronics (or adjacent high-reliability industries).

• Hold a BS in Mechanical Electrical Manufacturing or Materials Engineering (or related field); advanced degree a plus.

• Have successfully launched new hardware products from proto through mass production.

• Possess deep knowledge of consumer electronics assembly & test processes including PCBA integration calibration and cosmetic inspection.

• Bring strong expertise in statistics and analytics: SPC DOE capability analysis sampling plans GR&R FMEA and reliability statistics.

• Have demonstrated success leading root cause investigations and using FA tools such as X-ray/CT cross-section and microscopy.

• Are proficient in interpreting GD&T and tolerance stacks with working knowledge of metrology.

• Have experience with automated data pipelines and dashboards (SQL Python/R Tableau or similar) with bonus points for applying AI/ML to quality datasets.

• Communicate with clarity and impact whether in working-level discussions or executive reviews.

• Thrive in fast-paced ambiguous environments and are willing to be hands-on.

• Are open to significant international travel (up to 50%).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this link.

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Required Experience:

Manager