Program Manager, Tell Amazon

03 ott - Italia
Amazon

Job ID: 10542391 | Amazon Italia Services Srl - B97
Are you passionate about building customer trust and protecting online shoppers? Join our team as a Program Manager for a key customer trust feature in Amazon stores worldwide. You'll play a crucial role in safeguarding our product pages and enhancing the shopping experience.
Developing automation strategies and driving AI implementation to enhance operational efficiency and scale risk detection capabilities.
Partnering closely with Product and Engineering teams to define requirements, shape product roadmaps, and deliver solutions that improve the customer experience.
Leveraging data analysis and machine learning insights to proactively identify trends, predict emerging risks, and prevent issues before they impact customers.
Leading cross-functional initiatives to streamline processes, reduce manual effort, and continuously improve our risk management operations.
Drafting and presenting deep-dive documents and strategic recommendations to senior leadership, translating complex findings into actionable next steps.




Identifying opportunities to automate risk detection and enforcement processes, reducing manual intervention and improving response times.
Collaborating with Product and Engineering teams to test, refine, and deploy automated solutions that address emerging risk patterns.
Developing and maintaining documentation on automated systems, including decision logic, escalation paths, and performance benchmarks.
Monitoring automated risk signals and conducting quality control checks to ensure accuracy, identifying false positives and false negatives, and feeding learnings back into the system to continuously improve detection precision.
At Amazon we believe that customer trust is of paramount importance to anything we do. To continue building customer trust, the Customer & Partner Trust team works with authorities, merchants, brands, vendors and customers to identify and prevent Selling Partner risk, as well as in

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