Enterprise AI & Data Center Sales Leader — NYC Metro

Advanced Micro Devices

New York (NY)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Advanced Micro Devices is seeking a high‑impact Enterprise Territory Executive to drive growth across the NYC Metro region by expanding adoption of AMD’s Data Center, AI Infrastructure, and Commercial Client solutions. This role builds strategic relationships with enterprise customers and accelerates AMD’s market share.

You will engage executive and technical decision‑makers to modernize infrastructure, accelerate AI initiatives, optimize cloud environments, and transform end‑user computing

Qualifications

  • Proven success selling enterprise technology solutions and consistently exceeding revenue objectives.
  • Strong ability to build executive relationships with CIOs/CTOs and other leaders.
  • Strategic thinker with a track record of closing complex opportunities.
  • Passion for emerging technologies including AI, cloud, data center modernization.

Responsibilities

  • Develop territory growth strategies across the NYC Metro region.
  • Engage executive and technical decision-makers to position AMD solutions.
  • Drive adoption of Data Center, AI Infrastructure, and Commercial Client offerings.
  • Collaborate with OEMs, CSPs, SIs, ISVs, and channel partners.
  • Maintain forecasting, pipeline, and multi-quarter plans in Salesforce.

Skills

Enterprise sales
Executive relationships
Strategic selling
AI & cloud
Communication
Cross-functional collaboration
Travel 50%

Education

Bachelor’s degree in Engineering/CS/Business

Tools

Salesforce

Job description

Advanced Micro Devices is seeking a high‑impact Enterprise Territory Executive to drive growth across the NYC Metro region by expanding adoption of AMD’s Data Center, AI Infrastructure, and Commercial Client solutions. This role builds strategic relationships with enterprise customers and accelerates AMD’s market share.

You will engage executive and technical decision‑makers to modernize infrastructure, accelerate AI initiatives, optimize cloud environments, and transform end‑user computing

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