Sales Engineer (AI Factory Infrastructure)

Location: Remote within the United States. Travel: approximately 50%.

Company

hirify.global builds GPU compute marketplace and infrastructure platforms for deploying and operating high-performance AI Factories.

What you will do

• Support sales discovery, solution discussions, proposals, and technical alignment with customers.
• Translate customer requirements into infrastructure specifications, deployment plans, and technical documentation.
• Develop and maintain Bills of Materials covering compute, networking, storage, and datacenter infrastructure.
• Coordinate configurations, pricing, availability, lead times, delivery milestones, and issue resolution with Procurement and OEM vendors.
• Serve as the technical point of contact during customer onboarding, deployment, post-deployment support, and operational handoff.
• Track dependencies and blockers, maintain configuration records and open-issue logs, and coordinate engineering or vendor assistance.

Requirements

• 3–5 years of relevant experience in sales engineering, solutions engineering, technical account management, infrastructure deployment, or a related technical role.
• Experience with server hardware, networking, storage, datacenter infrastructure, and hardware configurations or Bills of Materials.
• Ability to translate customer needs into clear technical requirements and practical deployment steps.
• Knowledge of server architecture, GPU compute, Ethernet, switching, storage compatibility, Linux troubleshooting, rack space, power, cooling, and cabling.
• Familiarity with virtualization, containers, cloud infrastructure, hardware support processes, and OEM escalation procedures.
• Ability to travel approximately 50% of the time, with strong communication, organization, and follow-through across customers, vendors, and internal teams.

Nice to have

• Experience with NVIDIA-based infrastructure, AI/HPC clusters, high-speed networking, or bare-metal environments.

Culture & Benefits

• Work remotely within the United States with significant customer, vendor, and datacenter travel.
• Collaborate across Sales, Procurement, Engineering, Operations, OEM, and datacenter teams.
• Receive support from senior engineering and operations specialists for complex architecture and escalations.
• Build expertise in AI infrastructure while managing customer and vendor relationships across the full delivery lifecycle.