AI/HPC Hardware Sales Representative ( Remote ) ( Full-Time )

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• 3-5 years of experience in hardware sales, with a strong preference for candidates focused on AI/HPC infrastructure, data center solutions, or enterprise storage.
• Established relationships and existing network with OEMs (e.g., Supermicro, Dell, HPE, Lenovo, Gigabyte), ODMs, VARs, and channel partners — with a demonstrated ability to source and move hardware at volume.
• Deep expertise in AI/HPC data center hardware configurations, with particular strength in storage technologies including NVMe SSDs, all-flash arrays, JBOD/JBOF enclosures, parallel file systems (e.g., WEKA, Lustre, GPFS), and high-throughput storage networking (InfiniBand, NVMe-oF, RoCE).
• Understanding of GPU cluster architectures, AI/ML training and inference workloads, and their associated infrastructure requirements (compute, storage bandwidth, networking fabric).
• Familiarity with major GPU OEMs and accelerator vendors (NVIDIA, AMD, Client Gaudi) and data center ecosystem players (NVIDIA DGX/HGX, Supermicro, Dell PowerEdge, HPE Cray).

Role description:

My client has built a range of solutions for Bitcoin mining and computing power. Our Hardware Desk facilitates the global trade of specialized hardware to our clients and trading partners — we move tens of thousands of machines a month and operate one of the highest-volume desks in the world.

This role focuses on driving sales of AI/HPC data center hardware, including servers, storage systems, networking infrastructure, and full rack-scale solutions to enterprise, cloud, hyperscaler, and research customers.
The ideal candidate brings a proven track record in technology hardware sales, deep expertise in AI/HPC infrastructure configurations (with particular emphasis on storage), and an established network across OEMs, ODMs, and VARs.
This role reports directly to the Head of Hardware and is a remote position based in the United States.

Requirements:

• Based in the United States.
• Bachelor's degree in Business, Engineering, Computer Science, or a related field.
• 3-5 years of experience in hardware sales, with a strong preference for candidates focused on AI/HPC infrastructure, data center solutions, or enterprise storage.
• Established relationships and existing network with OEMs (e.g., Supermicro, Dell, HPE, Lenovo, Gigabyte), ODMs, VARs, and channel partners — with a demonstrated ability to source and move hardware at volume.
• Deep expertise in AI/HPC data center hardware configurations, with particular strength in storage technologies including NVMe SSDs, all-flash arrays, JBOD/JBOF enclosures, parallel file systems (e.g., WEKA, Lustre, GPFS), and high-throughput storage networking (InfiniBand, NVMe-oF, RoCE).
• Understanding of GPU cluster architectures, AI/ML training and inference workloads, and their associated infrastructure requirements (compute, storage bandwidth, networking fabric).
• Familiarity with major GPU OEMs and accelerator vendors (NVIDIA, AMD, Client Gaudi) and data center ecosystem players (NVIDIA DGX/HGX, Supermicro, Dell PowerEdge, HPE Cray).
• Experience working with or selling alongside cloud providers or colocation/data center operators is a plus.
• Strong technical acumen with the ability to speak credibly to infrastructure architects and engineering teams about hardware BOM, rack design, and system integration.
• Proven track record of closing high-value hardware deals with enterprise or hyperscaler customers.
• Strong communication, negotiation, and relationship-building skills.
• Willingness to travel as needed for client meetings, industry events, and conferences.

Responsibilities:

• Develop and execute sales strategies for AI/HPC data center hardware solutions, including compute (GPU/CPU/TPU servers), high-performance storage, and networking, across enterprise, hyperscaler, and small to mid-market clients.
• Identify, pursue, and close new business opportunities across AI, HPC, cloud computing, and data center infrastructure markets.
• Leverage and expand an existing network of relationships with OEMs, ODMs, VARs, distributors, and system integrators to accelerate deal flow and sourcing.
• Advise customers on full AI/HPC data center configurations, with deep expertise in storage architectures (NVMe, all-flash arrays, parallel file systems, object storage) as they relate to GPU cluster workloads and model training pipelines.
• Build and maintain strong relationships with key stakeholders, including procurement teams, infrastructure architects, engineering leads, and C-suite decision-makers.
• Collaborate with internal teams (engineering, product, marketing) to align sales strategies with hardware offerings and evolving customer requirements.
• Stay current on industry trends, competitive landscape, and emerging technologies across AI compute, storage, and data center infrastructure.
• Represent at industry events, conferences, and trade shows to grow market presence and sourcing relationships.
• Achieve and exceed sales targets and KPIs, providing regular pipeline and performance updates to leadership.
• Deliver compelling technical presentations and solution demonstrations to both technical and non-technical audiences.