Sr. Product Manager, VITA, Vendor Investigations & Transaction Accuracy (Basé à London)

Amazon is hiring a Senior Product Manager for the Vendor Investigations & Transaction Accuracy (VITA) team to lead the development of next-generation machine learning detection systems that protect Amazon's business at massive scale. Join us in building innovative solutions that analyze billions of transactions to identify patterns, anomalies, and duplicates in real-time. We're revolutionizing how Amazon detects and prevents irregularities across its vast ecosystem. As a Senior Product Manager, you'll drive the strategy and development of sophisticated ML-powered detection products that directly impact Amazon's data quality and business integrity. You'll work with world-class data scientists and engineers, leveraging the latest in AI/ML technologies to solve complex detection challenges at unprecedented scale.

Why You'll Love This Role:

• Own ML products that process billions of data points daily
• Drive innovation in anomaly detection and pattern recognition
• Work directly with leading AI/ML scientists and engineers
• Impact Amazon's global business operations
• Access to world-class machine learning resources and infrastructure

Key job responsibilities

• Develop deep understanding of pattern recognition needs across Amazon's vast data ecosystem to detect anomalies and duplicates at scale.
• Define product strategy and roadmap for machine learning-powered detection platforms that identify irregular patterns and duplicate entries.
• Drive the development of sophisticated detection algorithms in partnership with data scientists and ML engineers.
• Establish detection thresholds, rules, and automated response mechanisms that balance accuracy with performance.
• Lead the design and implementation of real-time and batch detection systems that can process billions of transactions.
• Define and monitor key performance metrics including detection accuracy, false positive/negative rates, and system performance.
• Manage trade-offs between detection precision, recall, processing speed, and resource utilization.
• Collaborate with ML teams to continuously improve model performance through feature engineering and algorithm optimization.
• Build intuitive interfaces and workflows for configuring detection rules and investigating alerts.
• Define data quality standards and validation frameworks to ensure reliable detection outcomes.
• Drive integration with downstream systems to enable automated actions based on detection results.
• Establish mechanisms to measure and improve detection accuracy across different use cases and data types.
• Partner with engineering teams to ensure detection systems meet scalability, reliability and latency requirements.
• Create comprehensive documentation and training materials for detection system capabilities and best practices.
• Mentor team members on machine learning concepts and detection system design principles.
• Stay current with latest developments in anomaly detection, pattern recognition and machine learning technologies.
• Proactively identify opportunities to apply new ML techniques to improve detection capabilities.

BASIC QUALIFICATIONS

• 5+ years of product or program management, product marketing, business development or technology experience
• Bachelor's degree or equivalent
• Experience owning/driving roadmap strategy and definition
• Experience with end to end product delivery
• Experience with feature delivery and tradeoffs of a product
• Experience as a product manager or owner
• Experience owning technology products
• Experience in the Procure to Pay process

PREFERRED QUALIFICATIONS

• Experience working across functional teams and senior stakeholders
• Experience in influencing senior leadership through data driven insights
• MBA in Finance/Accounting preferred

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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