Quality Process Manager - Production
Helsing - Munich
Posted May 8, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Quality Process Manager - Production Munich Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role As Quality Process Manager you own the competency and provide experience on applied Quality methodes and tools e.g. APQP, issue, manage and maintain Inspection Planning as an integrated ERP element to drive for excellence. You act as quality consultant, monitoring and improvement function in Helsings production environment by maintaining, surveillance and calibration of Quality KPI's and Processes. Maintaining and controling certification critical production quality aspects round up your role. The day-to-day - Apply APQP while owning elements e.g. CP as well act as moderator - Issue, maintain and releas ERP based inspection plans incl. allocated attributes - Review and analytics on manufacturing data to identify recurrent issues and drive efficient root cause corrective action and
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