Remote Federal Cloud Account Executive

VAST Data; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

VAST Data is seeking an Account Executive - Federal Cloud to drive revenue from government-focused opportunities. This role is remote within the United States and requires a proven ability to win large enterprise deals while coordinating with channel partners.

You will manage the full sales cycle, build relationships with federal stakeholders, and articulate how VAST’s data platform meets mission objectives, scales AI workloads, and reduces total cost of ownership.

Qualifications

• Proven track record of exceeding quota with large enterprise customers.
• Experience building selling regions from scratch with minimal resources.
• Strong post-sales customer success mindset for account expansion.
• Excellent time management and communication skills.
• Ability to engage customers at business and technical levels.
• Proficiency with Salesforce.com and Microsoft Office.

Responsibilities

• Generate revenue and collaborate with Channel Partners to sell the VAST Data offering.
• Manage the sales cycle in line with customer buying processes.
• Maintain customer relationships from first meeting through proof of concept and post-sale expansion.
• Develop and present proposals showing how the VAST solution meets business objectives.
• Penetrate large accounts, reach decision-makers, and close deals.

Skills

Quota attainment

Enterprise sales

Channel partner sales

Sales cycle management

Time management

Communication skills

Salesforce

Microsoft Office

Tools

Salesforce.com

Microsoft Office

Job description

VAST Data is seeking an Account Executive - Federal Cloud to drive revenue from government-focused opportunities. This role is remote within the United States and requires a proven ability to win large enterprise deals while coordinating with channel partners.

You will manage the full sales cycle, build relationships with federal stakeholders, and articulate how VAST’s data platform meets mission objectives, scales AI workloads, and reduces total cost of ownership.