Crusoe

Enterprise Account Executive, Capital Markets

New York, NY - US. Posted 4 months ago

The role

You will lead efforts in acquiring key enterprise accounts in the AI/ML cloud infrastructure market. You will manage the full sales cycle, engage with C-level executives, and collaborate across teams to deliver cloud solutions.

What you will do

  • Manage the entire sales process from prospecting to closing high-value deals.
  • Maintain long-term client relationships.
  • Work with Solutions Engineering, Product, Engineering, and Customer Success teams.
  • Build and nurture relationships with key decision-makers at top-tier enterprise clients.
  • Focus on sectors such as media & entertainment, e-commerce, financial services, and AI/ML-focused enterprises.
  • Achieve sales quotas through new customer acquisition.
  • Manage and grow accounts post-sale.

Required qualifications

  • 5-10 Years of Enterprise Sales Experience
  • Proven track record in closing complex sales cycles
  • Deep Understanding of AI/ML Cloud Solutions
  • Ability to negotiate large contracts ranging from $10M+
  • Experience nurturing long-term relationships with enterprise clients
  • Ability to engage and influence senior stakeholders
  • Ability to communicate technical concepts to non-technical audiences
  • Ability to collaborate cross-functionally

Nice to have

  • Familiarity in working with hyperscalers like AWS, Azure, or Google Cloud

Benefits

  • Competitive compensation
  • Restricted Stock Units
  • Paid time off & paid holidays
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. The company uses an energy-first approach to solve power bottlenecks for AI compute.