As a Service Solution Architect, you will be responsible as the expert for formulating and leading presales technical / functional support activity to prospective clients and customers while ensuring customer satisfaction. Acts as a technical resource and mentor for less experienced Sales Consultants. Focuses on large or complex sales opportunities that need creative and complex service solutions. Develops productivity tools and training for other Sales Consultants. Develops and delivers outstanding Oracle presentations and demonstrations. Leads any and all aspects of the technical sales process. Advises internal and external clients on overall architect service solutions. QualificationsLeading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of supply chain management. This may include supply chain planning, demand forecasting, discrete manufacturing, process management, product lifecycle management, warehouse management system, transportation management system, and/or manufacturing execution system.3 years vendor (sales and marketing) experience. 10 years business experience with relevant computer applications. Ability to implement the most advanced product features. Thorough knowledge of Oracle ERP, E-Business Suite or Fusion Application, or any leading ERP applications. In depth knowledge of competitors. Demonstrated project management skills. Demonstrated excellent verbal and written communication skills: needs analysis, positioning, business justification, closing techniques. Ability to persuade others through presentations, demonstrations, and written communication. Ability to travel as needed. A/BS degree or equivalent, advanced degree highly desirable.To allow effective communication with international customers, fluency in English is highly preferred.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Qualifications: • 8+ years' experience in product and program management roles driving cross-team collaborations and high-impact projets. • Customer centric and business driven. Eager to help business teams win from competition. 3+ years’ experience in customer facing program management or technical account manager roles. • Knowledge of Data Center GPU architecture and operations. Familiarity and knowledge of AI workloads and SW stack. • You possess a technology background that enables you to understand the complexities of cloud architecture. • You possess and exemplify maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills. • You display a demonstrated ability to think broadly and strategically. You are comfortable in engaging senior leaders within OCI (from engineering to business) to drive results for core business initiatives. • You work well in ambiguity, can work with your team to dive into a problem and create a solution • Fluency in English and Mandarin. Preferred Qualifications • Knowledge of technical program management for Cloud Infra project. • Ability to communicate technical issues clearly to a diverse audience. • Ability to build and maintain healthy rapport with customer • Should have proactive, problem-solving mindset Why Join Us? • Be at the forefront of driving Oracle’s cloud growth strategy in APAC • Shape the direction and success of Oracle’s largest opportunities outside the US. • Collaborate with an elite team in a fast-paced, growth-oriented environment. • Take on a strategic and highly impactful role visible to OCI leadership. • Exposure to cutting-edge cloud and AI infra technologies.

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.

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.

Directly manages TAMs and/or System Analysts, etc. with operational focus on multiple accounts, products/solutions or a combination thereof. Personal objectives typically defined as a "roll-up" of all delivery resources reporting to the Delivery Leader. Understands own product/solutions portfolio extremely well and knows how to win relative to competition. Responsible for providing coaching, mentoring and helping team attain a high degree of customer satisfaction. Accountable for territory revenue and utilization, and for delivery of other identified departmental results through successful direction of Account Management and/or Technical delivery resources within the business unit. Ensure high levels of customer satisfaction by making certain that quality and productivity guidelines are delivered, executing quality/productivity improvement efforts and understanding strategies of the Oracle Support Services organization. Interaction with Sales, Delivery account team and customer teams to ensure appropriate solutions are being identified and needs met. Attains results within Oracle management policies and practices. Executes company policies that affect immediate operation(s) and may have company-wide effect.