Senior ProServe Account Executive (PAE) - Retail/CPG and Pan-Amazon Growth, AWS Professional Services

The Senior ProServe Account Executive (PAE), Retail/CPG and Pan‑Amazon Growth joins Amazon Web Services' Professional Services division. In this capacity you will act as the primary customer‑facing liaison, helping enterprises adopt AWS cloud solutions, AI and hybrid architectures while aligning with the broader Pan‑Amazon ecosystem. Your daily agenda will involve initiating high‑value engagements, shaping proposals, and securing customer approval on Statements of Work. You will partner with ProServe Cloud Architects, Engagement Managers, Delivery Consultants and Amazon Global Sales teams to ensure a coordinated approach. After a project launches, you stay in touch to verify that the agreed business outcomes are being met, while balancing customer interests with AWS growth objectives. The role requires at least five years of professional‑services sales experience and three years focused on retail or consumer packaged goods development. You must have a proven record of meeting sales targets, driving customer satisfaction, and working with cloud technologies and IT strategy. A bachelor's degree in Computer Science, Engineering or a comparable discipline is also mandatory. The team operates with a startup mindset inside a large organization, supporting top‑tier retail and consumer‑goods customers worldwide. You will help build a new Retail/Consumer Goods Industry Business Unit from the ground up, collaborating across Amazon business units and leveraging AI solutions to accelerate client growth. The environment values speed, global thinking and trust‑building, offering a chance to shape a high‑impact practice. What the role asks for: - 5+ years professional services sales experience - 3+ years retail or consumer packaged goods business development - Proven track record meeting sales targets - Demonstrated ability to drive customer satisfaction - Experience with cloud technologies and IT strategy - Bachelor's degree in Computer Science, Engineering or related field - Excellent communication, presentation and negotiation skills (nice-to-have) - Strong storytelling and active listening abilities (nice-to-have) - Experience selling AI/ML and Generative AI to Retail/CPG (nice-to-have)