Sales Hardware Executive – GPU Infrastructure

About Arc

Arc Compute designs and deploys software-defined, 100% GPU-enabled AI infrastructure.

We deliver modular 1–5MW facility buildouts and turnkey clusters (8–64 nodes), deployed globally and engineered for sustained performance and scale. Our team manages the full lifecycle — architecture, hardware procurement, deployment, software-defined orchestration, and continuous optimization.

We work with data centers, enterprises, institutions, and Series A–E companies reducing cloud GPU spend and building dedicated AI infrastructure.

Arc infrastructure is designed for high utilization — including structured monetization of excess GPU capacity — enabling owners to optimize total cost of ownership while maintaining performance control.

The Role

We’re hiring a Sales Hardware Executive – GPU Infrastructure.

This role supports the sales team in developing pipeline, engaging prospective customers, and advancing GPU infrastructure opportunities across enterprises, AI-native companies, and data center operators.

You will work closely with Senior Sales Executives, engineering teams, and leadership to support infrastructure deals involving GPU servers, cluster deployments, and AI compute environments.

This is an ideal role for someone looking to build a career in high-performance computing, AI infrastructure, and enterprise hardware sales.

What You’ll Do

Pipeline Development & Prospecting

• Identify and research organizations scaling AI infrastructure.
• Generate outbound pipeline through prospecting, networking, and targeted outreach.
• Support account mapping across enterprises, AI startups, and data center operators.
• Schedule discovery meetings for senior sales executives and leadership.

Sales Process Support

• Assist in preparing proposals, pricing models, and infrastructure solutions.
• Support qualification of new opportunities and early-stage technical conversations.
• Coordinate with engineering teams to gather solution details and specifications.
• Maintain CRM records and track deal progression in HubSpot.

Customer Engagement

• Participate in discovery calls with prospects evaluating GPU infrastructure.
• Help communicate Arc’s value proposition around performance, cost optimization, and dedicated compute ownership.
• Follow up with prospects, gather requirements, and support deal progression.

Market & Account Research

• Track developments in the AI infrastructure, GPU, and data center ecosystem.
• Research companies expanding AI workloads or repatriating cloud workloads.
• Monitor industry trends in GPU hardware, HPC clusters, and AI compute demand.

Internal Collaboration

• Work closely with senior sales leaders to support strategic infrastructure deals.
• Coordinate with engineering and operations teams during solution development.
• Contribute to pipeline reporting and sales forecasting.

What You Bring

Must Have

• 2–5 years of experience in B2B sales, hardware sales, or technology sales support.
• Strong interest in AI infrastructure, GPUs, high-performance computing, or data center technology.
• Excellent communication and relationship-building skills.
• Ability to research, qualify, and engage prospective customers.
• Strong organizational skills and attention to detail in managing CRM pipelines.
• Comfortable working in a fast-paced, high-growth infrastructure environment.

Nice to Have

• Exposure to GPU hardware, servers, HPC clusters, or data center infrastructure.
• Experience selling or supporting sales of enterprise technology or hardware solutions.
• Familiarity with NVIDIA, AMD GPUs, AI workloads, or machine learning infrastructure.
• Experience using HubSpot or other CRM platforms.
• Interest in the AI, ML, or deep learning ecosystem.

Compensation

Competitive base salary with performance-based commission tied to pipeline generation, deal support, and revenue contribution.

Compensation includes structured sales incentives and growth opportunities aligned with performance milestones.

Why Arc

• Join a company building next-generation GPU-first AI infrastructure.
  • Work alongside experienced leaders closing large-scale AI compute deployments.
  • Gain exposure to enterprise hardware sales and high-performance computing markets.
  • Build expertise in one of the fastest-growing sectors of technology — AI infrastructure.