Sr. Quality Manager, Worldwide Grocery
Amazon - Austin, Texas, USA
Posted May 12, 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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- Verification
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- Salary
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- 401(k) match
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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
Sr. Quality Manager, Worldwide Grocery Austin, Texas, USA The WW Grocery team is looking for an entrepreneurial, experienced, and analytical Senior Quality Manager. You will join a dynamic, fast-paced, fun and collaborative work environment where you will help build and scale our business within both physical stores and online channels. This role ensures that products are consistently produced and delivered to our customers to our quality expectations. You will be expected to drive activities across several stakeholder teams including Product Management, Sourcing, Product Development, Food Safety, Marketing, Supply Chain, Operations, and suppliers to ensure the maintenance of quality expectations for our food & beverage products. This position will focus on monitoring product performance of launched products, managing trend analysis and escalation mechanisms, and facilitate process improvement initiatives with suppliers and internal cross-functional teams. This position will focus on developing benchmarking mechanisms to assess category and subcategory performance and reporting mechanisms to track quality performance metrics. The position will require resourcefulness and creativity to learn new tools and systems to identify opportunities to drive automation and simplification of data management. The right person for this role must be customer obsessed and enjoy using data and mechanisms to drive improvements that maintain customer trust with of our brands and products. The successful candidate will be self-motivated, enjoys working with data and identifying trends from large data sets, able to develop sound recommendations for product/process improvements, able to earn trust and influence teams, solution oriented, have solid problem solving skills, strong attention to
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