施耐德Senior Services Sales Engineer

    Qualifications   • 7+ years of enterprise IT or cloud solution sales experience, with a focus on complex, high-value deals. • With sales or technical experience in cloud/digital native market • Demonstrated success of selling cloud technologies, including Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). • Fluent verbal and written communication skills in English, with the ability to present technical and business value clearly to senior stakeholders. • Proven sales track record to achieve sales quota • Good understanding of cloud computing concepts such as virtualization, containers, networking (VPC, load balancing), storage (object/block/file), and database services. • Bachelor above degree in Computer Science, Information Technology, Engineering, or a related discipline.   Preferred Qualifications   • Knowledge of cloud-native technologies, DevOps (CI/CD), Infrastructure as Code (IaC), and AI/ML frameworks. • Familiar with Oracle technologies and competitive platforms such as AWS, Azure, and Google Cloud.

Qualifications • 6+ years of enterprise IT or cloud solution sales experience, with a focus on complex, high-value deals. • With sales or technical experience in cloud/digital native market • Demonstrated success of selling cloud technologies, including Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). • Fluent verbal and written communication skills in English, with the ability to present technical and business value clearly to senior stakeholders. • Proven sales track record to achieve sales quota • Good understanding of cloud computing concepts such as virtualization, containers, networking (VPC, load balancing), storage (object/block/file), and database services. • Bachelor above degree in Computer Science, Information Technology, Engineering, or a related discipline. Preferred Qualifications • Knowledge of cloud-native technologies, DevOps (CI/CD), Infrastructure as Code (IaC), and AI/ML frameworks. • Familiar with Oracle technologies and competitive platforms such as AWS, Azure, and Google Cloud.

N/A

Key Responsibilities • Drive revenue growth by identifying, qualifying, and closing opportunities for Oracle Cloud Infrastructure (OCI). • Develop and maintain multi-relationships across customer organizations, including CIOs, CTOs, and business unit leaders. • Execute territory and account strategies to expand cloud footprint and usage. • Lead customer engagements that highlights Oracle’s strengths in computing, networking, storage, container orchestration (Kubernetes, Docker), database services (Autonomous DB, Exadata), analytics, and AI/ML platforms. • Collaborate with pre-sales engineers and solution architects to create value-based proposals and demonstrations. • Ensure post-sale success by aligning with customer success managers on cloud consumption and workload optimization. • Provide accurate forecasting and pipeline management using Oracle’s CRM systems. • Win opportunities on monthly basis and quarterly basis. • Achieve assigned quota and consumption growth expectations. Qualifications • 7+ years of enterprise IT or cloud solution sales experience, with a focus on complex, high-value deals. • With sales or technical experience in cloud/digital native market • Demonstrated success selling cloud technologies, including Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). • Fluent verbal and written communication skills in English, with the ability to present technical and business value clearly to senior stakeholders. • Proven sales track record to achieve sales quota • Strong understanding of cloud computing concepts such as virtualization, containers, networking (VPC, load balancing), storage (object/block/file), and database services. • Bachelor above degree in Computer Science, Information Technology, Engineering, or a related discipline. Preferred Qualifications • Experience working in China oversea enterprise market. • Knowledge of cloud-native technologies, DevOps (CI/CD), Infrastructure as Code (IaC), and AI/ML frameworks. • Familiar with Oracle technologies and competitive platforms such as AWS, Azure, and Google Cloud. • Possesses DNB client resources, or small and medium-sized enterprise (SME) and cloud ecosystem partner resources, or startup and venture capital (VC) resources, along with an extensive IT social network. • Demonstrates proficiency in identifying client-side application scenarios for new technologies such as AI and excels in communication capabilities related thereto.