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.