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We’re a fast-moving, US-Israeli AI startup building next-generation Infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.
Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!
About the position
As our GTM Director, you will bridge the gap between our hardware architecture and the customer’s model training/inference requirements. You will not just sell servers; you will sell a performance platform, requiring deep technical fluency to prove TCO advantages and software compatibility. This is a high-impact, customer-facing role that blends storytelling, technical fluency, and deal-making.
Responsibilities:
- Drive Design Wins: Own the full sales lifecycle, including technical validation (benchmarking inference throughput, latency, and power efficiency) vs. incumbents (e.g., NVIDIA, specialized ASICs). Negotiate complex contracts and navigate procurement processes with large organizations.
- Quantify TCO Advantage: Develop models to articulate the Total Cost of Ownership (TCO) advantage of our platform against current datacenter standard racks, focusing on energy per token and rack density.
- Ecosystem & Software Evangelism: Partner with our software engineering teams to articulate the value of our software architecture. Evangelize compatibility with common developer frameworks/APIs and ensure customers understand the development ease of use.
- Strategic Partnerships: Build deep ties with key customers including hyperscaler procurement teams, datacenter operators, and CTOs of AI-frontier labs.
- Pipeline Generation: Lead outbound efforts targeting technical teams at companies specializing in the future of inference (e.g., LLM labs, code development, and quantitative trading firms).
- Technical Sales DNA: 10+ years in technical sales, BD, or GTM, with proven success selling compute infrastructure, semiconductors, or cloud platforms.
- Stack Literacy: Experience navigating conversations with AI researchers and infrastructure engineers regarding memory bandwidth, interconnects, and LLM model architectures.
- Strategic Insight: Demonstrated ability to position hardware solutions in a market dominated by incumbents.
- Founder Mindset: Ability to define sales playbooks, pricing models, and GTM strategies from 0 to 1.
- Advantage: Experience in early-stage startups or launching new GTM initiatives
We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.
Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!
Skills Required
- 10+ years of experience in technical sales, business development, or go-to-market roles
- Proven success selling compute infrastructure, semiconductors, or cloud platforms
- Experience discussing memory bandwidth, interconnects, and LLM model architectures with AI researchers and infrastructure engineers
- Demonstrated ability to position hardware solutions against established incumbents
- Ability to define sales playbooks, pricing models, and go-to-market strategies from zero to one
- Experience at early-stage startups or launching new go-to-market initiatives
What We Do
Majestic Labs is reimagining AI infrastructure for the world’s most demanding workloads. Today, organizations are forced to overprovision expensive compute just to access the required memory their models need. We took a fundamentally different approach by pairing a massive amount of compute with 1000x the memory to create game changing improvements in performance, power and deployment efficiency. Our customers can literally replace racks of traditional AI infrastructure with a single Majestic server.
