GTM Enablement Lead
Nscale
GTM Enablement Lead
Nscale
Develops and operates AI data centers
.About the role:
You are the boots-on-the-ground, tactical coach for our GTM team. You are the crucial execution layer on designing the global curriculum and overarching strategy. You will take the V1 playbooks, field-test them in live combat, localize them for the specific dynamics of the market, and drive absolute adoption across the floor. You will sit side-by-side with Account Executives, Deal Strategists, and technical sellers to hone their pitches, dissect their pipeline, and accelerate their deal velocity. In this role, you are the vital feedback loop between the reality of what the market is demanding today and what our global enablement materials are teaching.
Responsibilities:
You may be a good fit if you have:
The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
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Salary Range 160000 - 270000 USD
Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.
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