GTM Strategy Lead (AI Infrastructure)

Location: New York, San Francisco, or Seattle, United States

Salary: $140,000–$250,000 USD base salary per year, plus potential bonus, equity, and/or commission.

Company

Nscale is building AI infrastructure and planning how global AI capacity is deployed.

What you will do

• Design Nscale's GTM operating model, including account engagement standards, funnel design, pipeline stages, forecasting methodology, and execution standards.
• Define and operationalize GTM metrics, data processes, executive dashboards, and recurring pipeline, forecast, capacity allocation, and business review cadences.
• Lead annual and long-range planning with Finance and sales leadership, covering capacity modeling, territories, coverage, headcount, quotas, and incentive governance.
• Act as the GTM DRI for launches involving new GPU generations, managed services, and the on-demand platform.
• Track customer adoption and utilization, coordinate field readiness, run launch operating rooms, and establish repeatable NPI launch methodology.
• Prepare strategic analyses, steering-committee readouts, launch retrospectives, and executive narratives based on performance and adoption trends.

Requirements

• 7–10+ years of experience in GTM strategy and operations, product strategy, or strategy consulting, with meaningful exposure to enterprise sales.
• Experience building high-stakes, operations-heavy programs and creating repeatable methodologies in a high-velocity company.
• Demonstrated zero-to-one experience establishing operating models, metric systems, or launch motions.
• Ability to influence senior sales leaders and executives without direct authority and present effectively to Product, Finance, and Engineering stakeholders.
• Exceptional analytical skills, including SQL, sophisticated modeling in Sheets or Excel, and experience with BI tools such as Looker or BigQuery.
• Strong ownership, data discipline, and ability to turn complex operational gaps into measurable outcomes.

Nice to have

• Experience at an AI, infrastructure, developer-tools, or API-first company with consumption-based pricing and B2B enterprise sales.
• Familiarity with accelerated computing, GPU generations, cluster economics, utilization, goodput, Ray, or Kubernetes.
• Hands-on experience with sales compensation, quota governance, and attainment reporting.
• Experience operating in an environment where the product and operating model are changing rapidly.

Culture & Benefits

• Collaborative, supportive, and innovative work environment.
• Flexible workplace with autonomy to shape the working day.
• Performance reviews every 12 months and a progression plan tailored to individual ambitions.
• Medical, dental, and vision benefits, flexible paid time off, parental leave, and retirement plan participation.
• Competitive US compensation package with potential bonus, equity, and/or commission.