
Prod Compliance Specialist I, Global Product Verification (GPV)
Amazon • Hyderabad, Telangana, India
**Role & seniority: ** Product Compliance Specialist I (early career/mid-level); independent ownership of product verification workflows
**Stack/tools: ** Microsoft Office Suite (Word, Outlook, Excel); works with large datasets and analytics for quality/risk signals; integrates with upstream/downstream detection systems (tools not specified)
**Top 3 responsibilities: **
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Own and improve product verification workflows (e.g., Bin Checks, Test Buys, Metrology, ML model labeling/behaviors) to detect counterfeit/used-as-new/damaged/wrong/expired items
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Write & maintain SOPs/work instructions, monitor policy changes, update workflows, and train the team
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Perform data analysis and root cause analysis for product quality incidents; create reports for trends/metrics and support escalation handling
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Must-have skills:
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3+ years QA engineering experience or relevant bachelor’s degree (engineering/stats/CS/OR/analytics/IS)
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Ability to analyze large datasets for trends/anomalies and support value/decision-making
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Independent judgment in ambiguous situations; escalation handling and stakeholder coordination
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Proficiency with Excel/Word; documentation and SOP maintenance
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Nice-to-haves:
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Degree in mechanical/electrical/material science/physics (or related)
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2+ years fraud/risk investigations
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3+ years implementing metric-based continuous improvement strategies, or 2+ years fraud detection/investigati
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Full Description
The Product Compliance Specialist I is expected to own and improve product verification workflows such as Bin Checks, Test Buys, Metrology, ML model labelling and behaviors — to detect counterfeit, used-sold-as-new, damaged, wrong item and expired products in Amazon’s fulfillment network. This role is expected to write and maintain SOPs, perform root cause analysis, handle escalations, train the team, and work closely with stakeholders to improve product quality outcomes. The specialist is also expected to support upstream and downstream detection systems to integrate into the workflow seamlessly.
Key job responsibilities
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expected to operate independently in ambiguous situations, exercise sound
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judgment, and influence decisions independently
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expected to identify policy changes that affect GPV verification workflows,
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update SOPs accordingly, and train the team on changes
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expected to analyze data to identify trends, anomalies, risk signals, and
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opportunities for proactive intervention
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expected to perform root cause analysis to resolve product quality incidents
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within their scope of work
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expected to draft and maintain workflows, work instructions, and SOPs for the
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team that align with team strategies
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expected to create and use reports (e.g., quality trends, regional metrics)
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from multiple data sources to improve process metrics
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expected to mentor and support team members by sharing investigation
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methodologies and best practices
About the team The Global Product Verification (GPV) team is Amazon's premier product authentication and verification team, protecting marketplace integrity through comprehensive product verification systems. We specialize in seller verification, strategic product procurement, and implementing comprehensive authentication standards. By focusing on PQ metrics, we tackle critical challenges including counterfeit prevention, expiration compliance, and product condition accuracy. Through collaborative partnerships with internal and external stakeholders, we ensure Amazon remains the most trusted destination for authentic products worldwide.
Basic Qualifications: - Experience with the Microsoft Office Suite including Word, Outlook, and Excel
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3+ years of quality assurance engineering experience, or Bachelor's degree in
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engineering, statistics, computer science, operations research, business
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analytics, information systems or equivalent
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Experience working with large datasets, determining trends/patterns which can
be used for value decisions Preferred Qualifications: - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, or Associate's degree
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2+ years of fraud/risk investigations experience
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3+ years of implementing metric-based strategies utilizing continuous
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improvement concepts, or 2+ years of fraud identification and detection,
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investigation and analysis for root causing and providing suitable preventive
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mechanisms experience
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