Sr. Product Manager, VITA, Vendor Investigations &Transaction Accuracy

Amazon is hiring a Senior Product Manager for theVendor Investigations & Transaction Accuracy (VITA) team tolead the development of next-generation machine learning detectionsystems that protect Amazon's business at massive scale. Join us inbuilding innovative solutions that analyze billions of transactionsto identify patterns, anomalies, and duplicates in real-time. We'rerevolutionizing how Amazon detects and prevents irregularitiesacross its vast ecosystem. As a Senior Product Manager, you'lldrive the strategy and development of sophisticated ML-powereddetection products that directly impact Amazon's data quality andbusiness integrity. You'll work with world-class data scientistsand engineers, leveraging the latest in AI/ML technologies to solvecomplex detection challenges at unprecedented scale. Why You'llLove This Role: - Own ML products that process billions of datapoints daily - Drive innovation in anomaly detection and patternrecognition - Work directly with leading AI/ML scientists andengineers - Impact Amazon's global business operations - Access toworld-class machine learning resources and infrastructure Key jobresponsibilities - Develop deep understanding of patternrecognition needs across Amazon's vast data ecosystem to detectanomalies and duplicates at scale. - Define product strategy androadmap for machine learning-powered detection platforms thatidentify irregular patterns and duplicate entries. - Drive thedevelopment of sophisticated detection algorithms in partnershipwith data scientists and ML engineers. - Establish detectionthresholds, rules, and automated response mechanisms that balanceaccuracy with performance. - Lead the design and implementation ofreal-time and batch detection systems that can process billions oftransactions. - Define and monitor key performance metricsincluding detection accuracy, false positive/negative rates, andsystem performance. - Manage trade-offs between detectionprecision, recall, processing speed, and resource utilization. -Collaborate with ML teams to continuously improve model performancethrough feature engineering and algorithm optimization. - Buildintuitive interfaces and workflows for configuring detection rulesand investigating alerts. - Define data quality standards andvalidation frameworks to ensure reliable detection outcomes. -Drive integration with downstream systems to enable automatedactions based on detection results. - Establish mechanisms tomeasure and improve detection accuracy across different use casesand data types. - Partner with engineering teams to ensuredetection systems meet scalability, reliability and latencyrequirements. - Create comprehensive documentation and trainingmaterials for detection system capabilities and best practices. -Mentor team members on machine learning concepts and detectionsystem design principles. - Stay current with latest developmentsin anomaly detection, pattern recognition and machine learningtechnologies. - Proactively identify opportunities to apply new MLtechniques to improve detection capabilities. BASIC QUALIFICATIONS- 5+ years of product or program management, product marketing,business development or technology experience - Bachelor's degreeor equivalent - Experience owning/driving roadmap strategy anddefinition - Experience with end to end product delivery -Experience with feature delivery and tradeoffs of a product -Experience as a product manager or owner - Experience owningtechnology products - Experience in the Procure to Pay processPREFERRED QUALIFICATIONS - Experience working across functionalteams and senior stakeholders - Experience in influencing seniorleadership through data driven insights - MBA in Finance/Accountingpreferred Our inclusive culture empowers Amazonians to deliver thebest results for our customers. If you have a disability and need aworkplace accommodation or adjustment during the application andhiring process, including support for the interview or onboardingprocess, please visit this link for more information. Amazon iscommitted to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis ofrace, national origin, gender, gender identity, sexual orientation,protected veteran status, disability, age, or other legallyprotected status. #J-18808-Ljbffr