GPU/AI Global Sales - Customer Acquisition
Requirements
Candidates need 8+ years of sales experience, including 2-3 years in cloud infrastructure and ideally 1-2 years in Cloud GPU sales. A deep understanding of the AI infrastructure ecosystem (NVIDIA, AMD) and a proven track record of developing new business in EMEA are required.
Job Description
Qualifications:
- 8+ years of Sales experience, with at least 2-3 years in the Cloud Infrastructure space.
- 1-2 years of Cloud GPU sales experience is highly desirable.
- Proven track record of selling complex technical solutions, with a solid understanding of cloud infrastructure deployments including lead times, margin analysis, and market demand.
- Strong technical depth, combined with excellent analytical and presentation skills.
- Deep understanding of the large-scale AI Infrastructure ecosystem, including but not limited to NVIDIA, AMD, GPU OEMs, and neoclouds.
- Proven success selling in EMEA and developing new business from the ground up.
- Strong experience in territory planning, lead generation, opportunity management, and the execution of complex enterprise deals.
- Strong knowledge of the EMEA AI community and government landscape, with a desire to build a new AI ecosystem with OCI at its center.
The primary responsibility is to sell AI cloud infrastructure and large-scale strategic cloud opportunities across the EMEA region
The selected candidate will plan, identify, qualify, and close large-scale opportunities with the support of technical SMEs and local Oracle teams across EMEA. The candidate will manage opportunities through the entire sales cycle, from business development, prospecting, and solution scoping through contract negotiations, signing, and post-sales handover to the delivery team
Qualifications
Career Level - IC4
About Us
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Skills
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.
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