Amazon - Manager - Mass Seller Engagement

Role Overview: Are you a builder who thrives at the intersection of sales, data, and Generative AI? We are looking for an entrepreneurial Sales Manager with 8+ years of relevant experience to drive a high-impact global initiative: helping US-based sellers expand their selection to reach Amazon's 19+ international marketplaces worldwide. In this role, you will lead our "one-to-many" seller engagement strategy, leveraging existing seller data and Gen AI tools to create personalized, automated nudges. Key job responsibilities: - Build and manage a fully automated mass seller engagement solution/agent by leveraging seller data and existing mass reach-out tools for US to WW expansion and post-launch growth. - Customize seller messaging based on sellers' current stage in the global expansion funnel and/or performance on new global marketplaces. - Measure impact of seller reach-outs and adapt seller engagement to drive higher open rates and action rates. - Deliver expected input and output goals of seller launches and global sales GMS. - Partner with product and program teams and own end-to-end development of Gen AI solutions for personalized mass seller engagement. - Own collaboration between product and program teams, business stakeholders, and external partners. Basic Qualifications: - 6+ years of sales experience. - Experience driving the sales management process as well as playing a hands-on role in driving sales. - Experience closing sales and generating revenue. - Experience analyzing data and best practices to assess performance drivers. - 6+ years of partnering with cross functional teams experience. - Experience partnering with product and program management teams. Preferred Qualifications: - Experience personally closing large complex deals end-to-end. - Experience developing and executing sales strategies, tactics, plans, processes, systems and programs. - Experience with sales CRM tools such as Salesforce or similar software. - Experience influencing C-level executives. - Experience working with or evaluating AI systems. - Bachelor's or Master's degree in engineering, management, or technology.