AI and Cloud Service Provider Account Executive

• Executive Orchestration: Act as the One Intel lead, building deep-rooted partnerships with C-suite executives and Principal Engineers at world-class AI and SaaS firms.

• Technical Value Synthesis: Translate complex hardware architectures (CPU, GPU, Accelerator, Networking, and Packaging) into business outcomes for customers running massive-scale distributed training and inference workloads.

• Strategic Growth: Drive Intel's data-centric growth strategy by identifying and securing design wins within the core infrastructure of the world's leading AI models and solution providers.

• Cross-Functional Leadership: Partner closely with Cloud Solution Architects (CSAs), Intel Business Units, Cloud and OEM partners to influence future product roadmaps based on the unique needs of AI-native disruptors.

• Market Evangelism: Serve as a technical and business evangelist, articulating Intel's vision for the future of AI and compute infrastructure in a highly competitive landscape.

• Bachelor's degree.

• 5+ years of data center cloud sales or business development experience.

• Candidates who reside within a 30-mile radius of an Intel office location are required to work in a hybrid arrangement.

• Close proximity to an Intel office location is strongly preferred. Candidates within convenient commuting distance are highly desirable to support effective collaboration and in-person team interactions.

• AI and Cloud Fluency: Deep understanding of the AI pipeline-from LLM training clusters to edge inference. You should be comfortable discussing TCO, FLOPS, memory bandwidth, and interconnect latency.

• Full-Stack Knowledge: Mastery of data center ingredients (CPU, DDR5, HBM, PCIe Gen5/6/7, Ethernet/InfiniBand) and how they impact cloud-native software stacks.

• Proven Track Record: Experience managing high-complexity, multi-million-dollar accounts with a history of navigating long, technical sales cycles and the negotiation of complex agreements.

• Communication Mastery: Ability to simplify the complex. You can present a business case to a CFO in the morning and dive into architectural bottlenecks with a Lead Systems Engineer in the afternoon.

• Workload Optimization: Experience in workload characterization and optimization for distributed AI training environments.

• Ecosystem Knowledge: Familiarity with the AI software ecosystem (PyTorch, TensorFlow, Triton, etc.) and how hardware acceleration layers interface with these frameworks.

• Competitive Intelligence: Deep understanding of the competitive landscape in AI compute and a proven ability to articulate Intel's unique value proposition against alternative architectures.

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 09/10/2026

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.