About the role
毕业时间要求：2026年10月 - 2027年9月之间毕业的应届毕业生投递须知：1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！2 学校的英文全称请准确填写。AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and 毕业时间要求：2026年10月 - 2027年9月之间毕业的应届毕业生投递须知：1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！2 学校的英文全称请准确填写。AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.This role will work closely with GTM specialists and cross-functional teams to drive data-driven operational insights, build scalable enablement programs, and support supply chain readiness for AWS infrastructure services. You will gain hands-on experience in cloud business operations while leveraging cutting-edge AI tools to accelerate your productivity and impact.If you enjoy analyzing data, building systems to organize knowledge, collaborating with diverse stakeholders, and contributing to high-impact initiatives, we encourage you to apply.Key job responsibilities• Partner with product specialists to analyze internal operational data, identify trends, and consolidate actionable insights to support business decision-making• Curate and organize existing technical enablement materials to enhance the enablement framework for internal teams• Map supply chain-related requirements, research corresponding solutions, and maintain a structured repository of demand-to-solution mappings - Graduate between October 2026 and September 2027.- Bachelor's Degree or Master's degree in computer science, IT, engineering, business, or related field.- Solid understanding of cloud computing fundamentals, especially infrastructure services (compute, storage, networking)- Proficiency in AI-powered development and productivity tools (e.g., Claude Code, Codex, Kiro, or equivalent)- Strong English communication skills (both written and verbal) for cross-team collaboration and documentation - Strong data analysis skills with the ability to extract insights from operational datasets using Excel, SQL, or Python- Experience with data visualization and storytelling to communicate findings effectively- Self-motivated, detail-oriented, and able to work independently in a fast-paced environment- Passion for cloud technology, AI/ML, and the broader tech ecosystemOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.