阿里云阿里云智能-Gen AI BD-Africa Region

客户开拓与商机挖掘 •负责开拓国际 AI Native 企业、初创公司、AI数据服务和开发商等客户，识别并快速判断新兴增长赛道的市场机会，形成有效商机。 •深度理解客户所在行业，了解客户商业模式和业务流程，解构客户生产链路及对应的痛点，挖掘有效AI切入场景，找到双方合作机会点。 •推广标准化AI产品、平台及Agent类应用，通过深入挖掘客户使用场景，驱动Token调用量跨越式增长，为客户提供价值。 •与客户业务负责人对话，维护好关键决策点的客情关系，协调阿里云管理层和客户建立连接，与客户各层级建立长期业务和技术关系，赢取客户信任，在合作中获得关键性支持。 AI 价值传递 •帮助客户理解阿里云MaaS产品技术价值和适用场景，阿里云产品相对国际市场先进模型的差异化优势。 •在视频生成/AI聚合平台/Coding/Agent等场景，与客户进行深入沟通和共创，根据客户需求初步制定模型、应用及方案的匹配。 •针对客户特定场景业务需求，独立面向客户讲解阿里云业务解决方案，清晰的传递阿里云竞争力以及能够为客户创造的业务价值。 生态资源整合 •链接孵化器、加速器、VC创投等生态资源，精准触达高潜客户，加速业务规模化增长。 商务策略制定与商机转化 •识别并影响客户决策链路，制定应对商务方案，运用销售策略，促进客户决策并转化商机，达成业务目标，实现与客户的双赢。 •作为客户运营和管理第一责任人，从商机获取、客户交流、招投标商务流程管理、客户交付及问题解决，到内部产研、财税法等支撑部门有效协同，整合内外部资源，识别管理风险点，做好精细化运营和项目落地。 业务支持和产品优化 •提供客户全生命周期的业务支持，及时解决客户问题，提高客户满意度。 •研究市场趋势及竞对产品，结合用户体验，持续输出产品优化建议，推动内部产品和解决方案改进。

Engage in Senior-level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally. Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML/GenAI offering. -Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners. Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Sales, Business Development and Marketing teams. Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products. Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business.

Engage in Senior-level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally. Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML/GenAI offering. -Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners. Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Sales, Business Development and Marketing teams. Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products. Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business.

• Sales & Revenue Contribution: o Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through to agreement; o Create detailed account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools; o Collaborate with customers to identify and qualify high-impact AI use cases aligned to their business priorities and strategic objectives. • Sales & Solution Advisory o Act as a trusted advisor on AWS AI services, helping customers understand potential outcomes, value, and return on investment; o Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches; o Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements. • Customer Engagement & Market Development o Build and maintain strong relationships with decision-makers and executive stakeholders through a consultative, collaborative approach; o Partner with internal teams to deliver workshops, enablement sessions, and solution reviews that support customer learning and adoption; o Share customer insights and feedback with AWS AI product teams to help inform product direction and improvements.