Client Executive (Federal Sales)

Location: Vienna, Virginia, United States; United States. Hybrid work with in-office and/or in-person expectations.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise and public-sector customers.

What you will do

• Develop and execute strategic account plans for named Intelligence Community accounts.
• Generate net-new pipeline across white-space programs and expand hirify.global’s footprint in classified environments.
• Lead customer engagements from discovery through proposal and close.
• Collaborate with Sales Engineering, Professional Services, Cloud, partner teams, and federal systems integrators.
• Prepare formal presentations and business cases aligned with mission outcomes.
• Meet or exceed assigned quota and annual revenue targets.

Requirements

• Active TS clearance is required and must be maintained; SCI is preferred.
• At least 8 years of quota-carrying experience in complex federal environments, specifically within the Intelligence Community and Westfields.
• Experience with classified procurement processes and multi-year capture cycles.
• Strong executive presence with the ability to engage senior government stakeholders.
• Strong verbal and written communication skills, including formal presentations and proposal development.

Nice to have

• Experience selling against enterprise infrastructure vendors.
• Familiarity with cloud, storage, and hybrid infrastructure solutions.
• Bachelor’s degree or equivalent experience.
• SCI clearance.

Culture & Benefits

• Hybrid working environment designed to support connection, collaboration, and culture.
• Flexibility to balance professional and personal commitments.
• Culture focused on initiative, impact, ownership, innovation, and inclusive collaboration.
• Work with enterprise-grade storage, cloud, and AI infrastructure solutions.

Hiring process

• Applications are reviewed only through the hirify.global company website.
• Some stages may use AI tools to support application evaluation and candidate selection alongside human decision-making.