Enterprise Territory Executive, Seattle

Advanced Micro Devices, Inc•Seattle, WA

About The Position

AMD is seeking an Enterprise Territory Executive to grow adoption of its Data Center, AI Infrastructure, and Commercial Client solutions across enterprise customers in the Pacific Northwest. The role develops strategic customer relationships, identifies new business opportunities, and expands AMD’s market share. As part of AMD’s Commercial Sales organization, the Executive engages executive and technical decision-makers on infrastructure modernization, AI initiatives, cloud environments, and end-user computing. The role also works with AMD’s ecosystem of OEMs, Cloud Service Providers, System Integrators, ISVs, and Channel Partners to create customer-focused solutions and measurable business outcomes. The position combines enterprise sales, business development, strategic account engagement, and partner leadership. It involves growing territory revenue and pipeline across Data Center, AI, Cloud, and Commercial Client offerings; positioning AMD EPYC processors, AMD Instinct accelerators, and AMD Ryzen Pro platforms; and coordinating internal and external teams to execute customer and go-to-market strategies. The role maintains territory plans, forecasts, opportunity management, budgets, and resources, and uses AI-enabled tools and analytics to support sales productivity. Candidates must be based in the Seattle, Washington metropolitan area. The position is not eligible for visa sponsorship and requires approximately 50% travel.

Requirements

  • Proven success selling enterprise technology solutions and consistently exceeding revenue objectives.
  • Strong ability to build executive relationships and influence business and technology decision-makers.
  • Strategic mindset and a track record of identifying, developing, and closing complex opportunities.
  • Strong consultative selling skills focused on customer outcomes and business value.
  • Collaborative approach and ability to work effectively across highly matrixed organizations.
  • Excellent communication, presentation, and relationship-building skills.
  • Willingness and ability to travel approximately 50%.
  • Candidates must be based in the Seattle, Washington metropolitan area.
  • Bachelor’s degree in Engineering, Computer Science, Business, or a related field is preferred.
  • The role is not eligible for visa sponsorship.

Nice To Haves

  • Experience selling Data Center, AI Infrastructure, Enterprise Compute, Cloud, Storage, Networking, or Commercial Client solutions to enterprise organizations.
  • Demonstrated ability to consistently exceed sales targets and drive business growth.
  • Strong understanding of server, storage, virtualization, cloud, AI/ML, and enterprise infrastructure environments.
  • Familiarity with enterprise AI adoption, hybrid cloud architectures, and modernization initiatives.
  • Ability to articulate technical value propositions and business outcomes to diverse stakeholder groups.
  • Experience engaging CIO, CTO, infrastructure, architecture, and procurement leaders.
  • Ability to navigate complex enterprise organizations and influence multi-stakeholder buying decisions.
  • Familiarity with OEM sales motions, channel-led routes to market, and cloud ecosystem partnerships.
  • Experience working effectively within highly matrixed global organizations.
  • Experience using AI-enabled tools, automation, analytics, and data-driven insights to improve account planning, pipeline development, customer engagement, and sales execution.
  • Bachelor’s degree in Engineering, Computer Science, Business, or a related field.

Responsibilities

  • Develop and execute territory growth strategies across enterprise customers throughout the Pacific Northwest.
  • Identify, qualify, and close opportunities that drive revenue growth, market share expansion, and long-term customer value.
  • Build and maintain a pipeline across Data Center, AI, Cloud, and Commercial Client opportunities.
  • Develop territory plans aligned with customer priorities and AMD’s strategic growth objectives.
  • Build trusted-advisor relationships with CIOs, CTOs, Chief Architects, infrastructure leaders, procurement organizations, and line-of-business stakeholders.
  • Understand customer technology roadmaps, business priorities, and modernization initiatives.
  • Position AMD solutions to support AI adoption, cloud transformation, infrastructure modernization, and workforce productivity.
  • Drive adoption of AMD EPYC processors across virtualization, cloud, storage, enterprise applications, and high-performance computing workloads.
  • Position AMD Instinct accelerators for AI training, inference, advanced analytics, and enterprise AI initiatives.
  • Engage customers on AI infrastructure strategies, GPU acceleration, software ecosystems, and future workload requirements.
  • Help customers evaluate architectures that improve performance, efficiency, scalability, and total cost of ownership.
  • Drive adoption of AMD Ryzen Pro commercial client platforms, including AI-enabled PCs and next-generation workplace computing solutions.
  • Position AMD solutions around performance, security, manageability, sustainability, and end-user productivity.
  • Support enterprise refresh cycles and digital workplace transformation initiatives.
  • Collaborate with OEMs, Cloud Service Providers, VARs, distributors, System Integrators, and ISVs on joint go-to-market strategies.
  • Orchestrate cross-functional engagement across AMD Sales, Engineering, Field Application Engineers, Marketing, Business Units, and Channel teams.
  • Drive partner alignment and enablement to maximize customer impact and opportunity conversion.
  • Develop and execute multi-quarter territory plans and business strategies.
  • Maintain accurate forecasting, opportunity management, and pipeline discipline through Salesforce CRM.
  • Manage budgets, investments, and resources to maximize return on investment.
  • Leverage AI-enabled tools, analytics, and automation to improve territory planning, customer engagement, forecasting accuracy, and sales productivity.
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