Senior Account Executive (AI Infrastructure & Cloud) - Remote

Overview

Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.

In Short

• Manage the full sales cycle, from prospecting to closing
• Consistently meet or exceed sales quotas, targets, and KPIs
• Demonstrate the value of AI infrastructure and GPU cloud solutions through consultative selling
• Deliver exceptional client experiences to drive repeat business and referrals
• Work closely with technical, marketing, product, and customer success teams
• Stay updated on industry trends and competitive landscape

Requirements

• At least 2 years of full sales cycle experience at an NVIDIA Neo Cloud or Hyperscaler
• Proven GPU sales expertise, particularly with A100, H100, or H200
• Demonstrated ability to consistently meet and exceed sales targets
• Exceptional communication skills and consultative selling approach
• Legal authorization to work in the U.S. on a full-time basis without visa sponsorship

Benefits

• Competitive OTE (on-target-earnings) with 50/50 split and uncapped commission: $240,000-$340,000 per year
• Stock options plan in a publicly traded company
• 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan with a 4% match program
• Flexible remote work environment
• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
• Company-paid short-term, long-term disability, and life insurance coverage
• Up to $85/month for mobile and internet
• Opportunity to work with one of the most powerful commercially available supercomputers
• Contribute to sustainable AI infrastructure with energy-efficient data centers
• Startup culture and innovation backed by the resources of an established company