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Account Executive – GPU Infrastructure

  • Toronto, ON
  • On-site
  • Posted Sep 29, 2026
  • 1 position

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Master’s degree
Apply by
Oct 17, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level

Job summary

Generate new business by prospecting target accounts, building relationships, qualifying opportunities, and managing the full sales cycle through close. Translate customer requirements into turnkey GPU infrastructure solutions in collaboration with technical teams, while maintaining accurate CRM records, forecasts, and account plans.

Job details

About Arc Arc Compute designs, builds, deploys, manages, and monetizes end-to-end GPU infrastructure. We deliver turnkey GPU clusters and modular facility buildouts, with capabilities spanning capacity planning, infrastructure architecture, hardware procurement, integration, deployment, software-defined orchestration, 24/7 operations, continuous optimization, and monetization. Our customers include enterprises, AI companies, institutions, telecommunications organizations, and data center operators looking to deploy dedicated, high-performance compute infrastructure. The Role Arc Compute is looking for an Account Executive – GPU Infrastructure to develop new customer relationships and drive sales across our end-to-end GPU infrastructure solutions. This is an outside sales role focused on generating new business. You will identify and prospect target accounts, develop relationships with prospective customers, qualify opportunities, and own those opportunities throughout the sales process from initial engagement through close. The role requires a strong foundation in IT infrastructure sales and a working understanding of servers, networking, and storage. You must be able to understand a customer’s technical and business requirements, identify the right turnkey GPU infrastructure solution, and work effectively with Arc’s engineering and infrastructure teams throughout the sales process. The successful candidate must be able to sell the full lifecycle of a GPU cluster solution at an executive-summary level and drill down into the components as needed – from planning and design through build, deployment, management, monitoring, operations, and monetization. Experience with GPU infrastructure, GPU clusters, high-performance computing, or AI infrastructure is a strong advantage. The right person will be commercially driven, technically comfortable, comfortable creating their own pipeline, passionate about sales and helping customers improve business outcomes, and able to operate independently in a fast-moving environment. What You’ll Do Develop New Business & Build Pipeline Build and maintain a self-generated pipeline of qualified new business opportunities. Identify and prospect target accounts through direct outreach, account research, networking, referrals, industry relationships, and other outbound channels. Develop new relationships with technical, operational, procurement, and business decision-makers. Identify customer needs, infrastructure triggers, buying timelines, budgets, and decision processes. Work closely with Arc’s BDR, Marketing, leadership, and technical teams to identify target accounts and develop new opportunities. Build and execute account and territory strategies across AI companies, enterprises, telecommunications organizations, healthcare, neoclouds, data center operators, and other infrastructure-intensive markets. Manage the Sales Process Own opportunities throughout the full sales cycle, from prospecting and initial engagement through discovery, proposal, negotiation, and close. Conduct discovery to understand customer workloads, infrastructure requirements, business objectives, KPIs, budgets, and timelines. Work with Arc’s technical team to translate customer requirements into appropriate turnkey GPU cluster solutions across compute, networking, storage, facility, deployment, operations, and monetization. Prepare and coordinate proposals, pricing, and commercial terms. Maintain momentum throughout longer, technically complex sales cycles and consistently drive clear next steps. Maintain disciplined, accurate, and timely pipeline, activity, and opportunity information in HubSpot. Provide accurate forecasting based on opportunity stage, customer engagement, buying process, and next steps. Understand Customer Infrastructure Requirements Discuss customer requirements across GPU compute, servers, networking, storage, data center facilities, connectivity, and cluster operations. Understand customer environments well enough to identify requirements and explain how the full solution fits together, while knowing when to bring Arc’s engineering and infrastructure teams into deeper technical discussions. Communicate Arc’s technical and commercial value proposition to both technical and business stakeholders, translating infrastructure capabilities into customer KPIs and measurable business outcomes. Bring Arc’s engineering and infrastructure teams into more detailed technical discussions where required. Continue developing expertise across GPU infrastructure, AI compute, high-performance computing, colocation, data center operations, and GPU cluster economics. Collaborate Across Arc Work closely with engineering, operations, BDR, Marketing, and leadership throughout the sales process. Share customer feedback, market intelligence, competitive insights, and emerging opportunities with the team. Contribute to pipeline reporting, forecasting, territory planning, and account planning. Stay current on developments across enterprise infrastructure, GPU compute, AI infrastructure, and data centers. Required What You Bring 3+ years of sales experience specifically selling IT infrastructure or closely related solutions. Demonstrated experience self-generating outbound pipeline, opening net-new accounts, and converting prospecting activity into qualified opportunities and closed business. Strong knowledge of servers, networking, and storage, with the technical confidence to discuss how these components work together in a GPU cluster. Experience managing customer opportunities across the full sales cycle, including prospecting, discovery, qualification, proposal, negotiation, and close. Ability to build relationships and create opportunities with new customers rather than relying primarily on an existing book of business or inbound leads. Ability to understand technical customer requirements, present an executive-level solution overview, and drill down into individual infrastructure components with technical and commercial stakeholders. Strong relationship-building, communication, organizational, and follow-up skills, with a genuine passion for sales and helping customers succeed. Commercially driven, comfortable operating independently in a fast-moving environment, and motivated by ambitious goals and measurable results. Strong discipline using HubSpot or another CRM, including prospecting activity, opportunity management, pipeline hygiene, and forecasting. Strong Assets Experience selling GPU/cloud AI infrastructure or HPC, with exposure to GPU-intensive workloads such as LLM training/fine-tuning, multimodal/vision, rendering, scientific computing, or drug discovery. Familiarity with NVIDIA or AMD GPU environments. Data center and colocation knowledge in the U.S. and Canada, including power/density, rack or cage space, cooling, facility readiness, cross-connects, internet/transit connectivity, and colo commercial models. Experience developing new business within AI companies/startups, healthcare, telecommunications, enterprises, neoclouds, or other infrastructure-intensive markets. Existing relationships within relevant infrastructure, GPU, data center, colocation, or technology markets. Experience working with OEMs, VARs, MSPs, systems integrators, channel partners, or other infrastructure partners to develop new business. MBA or studies in finance, business, or administration are a plus, with the ability to connect GPU infrastructure to customer KPIs, ROI, utilization, and business outcomes. Compensation Competitive base salary plus performance-based commission. Full compensation and commission structure will be discussed during the interview process. Why Arc Sell end-to-end GPU turnkey solutions spanning planning, design, build, deployment, operations, and monetization. Build new customer relationships in a rapidly growing infrastructure market. Help organizations turn complex GPU infrastructure requirements into production-ready, commercially successful compute environments. Work directly with Arc’s technical, engineering, and leadership teams. Build expertise in one of the fastest-growing areas of the technology infrastructure market. First Name* Last Name* Email Address* Country* Linkedin* Position* Salary Expectation* Describe your experience selling IT infrastructure or closely related solutions. How many years have you been selling in this space, and what types of solutions have you sold?* Tell us about a new customer you personally won through outbound prospecting. How did you identify the account, get the first conversation, and move the opportunity through to close? Please include the approximate deal size and sales cycle.* Describe your knowledge and sales experience with servers, networking, and storage. What types of solutions or environments have you worked with?* Tell us about the most technically complex IT infrastructure solution you have sold. What was the customer requirement, what solution did you sell, and what did you personally own?* How do you build your own outbound pipeline? Describe how you identify target accounts, prospect into them, and turn outreach into qualified opportunities.* What experience do you have with GPU infrastructure, GPU clusters, HPC, AI infrastructure, or infrastructure supporting AI/ML workloads? Please describe the solutions and customer use cases you've been exposed to.* Describe any experience you have with data centers or colocation, including the types of solutions, facilities, or customers you've worked with.* What experience do you have selling into AI companies/startups, healthcare, telecommunications, enterprises, neoclouds, data center operators, or other infrastructure-intensive organizations?* Tell us about your experience using HubSpot or another CRM to manage prospecting activity, opportunities, pipeline, and forecasting.* Where are you currently located, what is your current authorization to work in Canada, and are you able to work onsite in Toronto?* Upload Resume* Join Our Community We’ll send you job opportunities, Q&As with industry leaders, career insights, and more.

What you’ll do

Generate new business by prospecting target accounts, building relationships, qualifying opportunities, and managing the full sales cycle through close. Translate customer requirements into turnkey GPU infrastructure solutions in collaboration with technical teams, while maintaining accurate CRM records, forecasts, and account plans.

Requirements

Requires at least three years of IT infrastructure or closely related sales experience, a record of self-generated outbound pipeline and new-account wins, and experience managing opportunities from prospecting through close. Candidates should understand servers, networking, and storage, communicate infrastructure solutions to technical and business stakeholders, and use a CRM such as HubSpot; GPU, HPC, AI infrastructure, and data center experience are strong assets.

Listed skills

  • Full-Cycle Sales · Preferred
  • Pipeline Development · Preferred
  • Outbound Prospecting · Preferred
  • Account Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • IT Infrastructure Sales
  • Outbound Prospecting
  • Pipeline Development
  • Full-Cycle Sales
  • Account Management
  • Servers
  • Networking
  • Storage
  • GPU Infrastructure
  • High-Performance Computing
  • AI Infrastructure
  • Data Centers
  • Colocation
  • Customer Discovery
  • HubSpot
  • Sales Forecasting

Job areas

  • Sales
  • Technology
  • Management & Leadership

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