Luxor is the leading software and services provider for Bitcoin miners and the broader compute industry. Our full-stack platform supports gigawatts of compute infrastructure, giving operators the tools to monetize their compute, optimize and trade hardware, access financial instruments, and manage energy.
We believe that compute power is becoming the world’s next major commodity and our products are built to support this shift. Our goal is to become the leaders in harnessing, refining, and trading compute, unlocking a new asset class for the world’s most important digital resource.
As Luxor continues to scale rapidly across software, hardware, financial, energy and cloud infrastructure products, every team member has the opportunity to shape mission-critical systems, influence company-wide strategy, and contribute directly to the future of the compute economy.
Role description:
Luxor is seeking a high-impact sales professional with a strong sense of ownership and an execution-focused mindset. The ideal candidate has experience selling hardware at volume, moves quickly in technical sales environments, and brings an established network they can activate from day one. Our Hardware Desk is one of the highest-volume globally, moving tens of thousands of machines each month across a broad network of clients and trading partners. This is a rare opportunity to join a lean, high-performing team at a pivotal moment as the market accelerates. We are looking for someone willing to roll up their sleeves and compete in one of the most dynamic spaces in tech.
This role reports directly to the Head of Hardware and is a remote position based in the United States or Canada.
Responsibilities
Build and execute a sales strategy for AI/HPC data center hardware solutions, covering compute (GPU/CPU/TPU servers), high-performance storage, and networking across enterprise, hyperscaler, and mid-market customers.
Drive new business across AI compute, high-performance storage, and data center infrastructure markets, from initial engagement through deal close.
Act as the connective tissue between Luxor and the ecosystem—OEMs, ODMs, VARs, distributors, and system integrators—deepening relationships to accelerate deal flow.
Advise customers on full AI/HPC data center configurations. Engineering-level expertise is not required, but the ability to engage credibly with technical buyers is essential.
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.
Represent Luxor at industry events and conferences to expand market presence and generate new opportunities.
Meet and exceed sales targets, maintaining full visibility into pipeline and performance.
Stay current on industry trends, competitive landscape, and emerging technologies across AI compute, storage, and data center infrastructure.
Requirements
Based in the United States or Canada.
3–5 years of experience in hardware sales (data center, enterprise storage, AI/HPC infrastructure, or similar). Adjacent backgrounds (cloud, networking, telecom) are considered if sales fundamentals are strong.
Existing network across OEMs (e.g., Supermicro, Dell, HPE, Lenovo, Gigabyte), ODMs, or VARs, with a demonstrated ability to source and move hardware at volume.
Familiarity with AI/HPC infrastructure, including GPU clusters, storage architectures, and data center configurations. Engineering-level expertise is not required, but the ability to engage credibly with technical buyers is essential.
Proven ability to close high-value deals and manage complex sales cycles.
Strong communication, negotiation, and relationship-building skills.
Willingness to travel for client meetings, events, and conferences.
The Ideal Candidate Has
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).
Strong 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, Intel Gaudi) and data center ecosystem players (e.g., NVIDIA DGX/HGX, Supermicro, Dell PowerEdge, HPE Cray).
Experience working with or selling alongside cloud providers or colocation/data center operators.
Strong technical acumen, with the ability to speak credibly to infrastructure architects and engineering teams about hardware BOMs, rack design, and system integration.
This role may also be known as:
GPU Sales Engineer, Infrastructure Technical Sales, Sales Engineer, Data Center Solutions Consultant, Infrastructure Solutions Advisor, OEM Alliance Manager, VAR & Channel Partner Manager, GPU Infrastructure Sales Manager, AI Compute Sales Manager, HPC Storage Sales Specialist, AI Infrastructure Account Executive.
At Luxor we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Luxor welcomes all!
Luxor does not accept unsolicited headhunter and agency resumes. Luxor will not pay any third-party agency or company that does not have a signed agreement with Luxor.
How we use AI in our hiring processWe use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used.
During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team.
We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days.
In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time.
In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.
