Technical Account Manager (Data Infrastructure)

Location: Hybrid role based in Wichita, Kansas; Morrisville, North Carolina; or Boulder, Colorado, United States

Salary: $88,400–$132,000 per year, with final compensation based on location, qualifications, experience, and education.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and enterprise solutions across Google Cloud, AWS, and Microsoft Azure.

What you will do

• Provide technical consultation on hirify.global products and services and recommend customer training plans.
• Build relationships with infrastructure, storage, security, and compliance stakeholders.
• Lead customer onboarding, product adoption, guided demos, and technical success planning.
• Conduct technical health checks, address vulnerabilities, recommend solutions, and manage P1 escalations.
• Use adoption and utilization insights to support predictive risk mitigation and optimize customer assets.
• Partner with Renewal Specialists, Field Sales, and technical teams on renewals, expansions, and strategic initiatives.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field, or equivalent experience.
• 2–3 years of experience in a customer-facing technical role such as Technical Support, Customer Success, Systems Administration, Sales Engineering, Professional Services, or Technical Account Management.
• Foundational knowledge of enterprise IT infrastructure, cloud technologies, storage, networking, or data management.
• Strong communication, analytical, prioritization, and customer relationship skills.
• Experience with CRM or customer success platforms such as Salesforce or Gainsight is beneficial.

Culture & Benefits

• Hybrid working environment with in-office and in-person expectations.
• Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
• Performance-based incentives, employee stock purchase plan, and restricted stock units may be available.
• Flexibility, inclusive collaboration, and opportunities to contribute to data infrastructure and enterprise AI initiatives.