GTM Strategy Lead
Taken at the midpoint of its range, $195,000/yr, this role pays more than the middle Revenue Operations & Enablement opening on the board today ($158k/yr); the usual band for that kind of seat is $120k–$275k/yr.
The posting
About the role
The GTM Strategy & Planning team is the brain of Nscale's revenue organization: it decides where the field points, how performance is measured, how scarce GPU capacity is allocated, and how each new product reaches the market commercially. This role is the senior individual contributor at the center of that team.
One thing makes this role different from similar seats at established platforms: nothing here is inherited. The operating model, the metric definitions, the launch methodology, the planning cadence - they do not exist yet. You will design them from a blank page, pressure-test them against a business that is scaling extremely fast, and then run them with rigor. You sit at the interface of Sales, Product, platform, Capacity, Finance and Marketing.
Build the GTM operating system - from the ground up
- Design Nscale's GTM operating model: account engagement standards, funnel design, pipeline stages and forecasting methodology - and the execution standards that make them stick
- Define, instrument and operationalize the core GTM metric set - pipeline health, deal velocity, forecast accuracy, capacity sold-forward at energization, utilization on landed accounts - and build the executive dashboards on top of it
- Stand up and run the operating cadences: weekly pipeline reviews, forecast calls, inputs to the weekly capacity allocation forum, and quarterly business reviews
- Drive annual and long-range planning with Finance and sales leadership: capacity modeling, coverage and territory design, headcount inputs, and quota and incentive governance
- Ensure data integrity and process discipline across every GTM motion - the operating rhythm only works if the data underneath it is trusted
Run launches commercially
- Serve as GTM DRI for commercial launches - new GPU generations, managed services and the on-demand platform: own customer cohort tracking, coordinate field readiness, and run the launch-week operating room with extreme ownership
- Synthesize adoption and utilization signal - usage patterns, migration behavior, qualitative field feedback - into reads that leadership acts on
- Design and run the field response loop: how seller, solutions-architect and customer feedback gets captured, triaged and routed to the teams who can act on it
- Turn every launch into methodology: a repeatable NPI playbook with operating cadence, roles and handoffs, and an explicit bar for launch readiness
Own the executive narrative
- Author the strategic analysis, steering-committee readouts, and launch retrospectives that executive leadership runs the business on - making adoption and performance trends legible early, not just retrospectively
You might be a good fit if you have
- 7-10+ years in GTM strategy & operations, product strategy, or strategy consulting, with meaningful exposure to enterprise sales motions
- Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity company - and turned effective heroics into repeatable, scaled methodology
- Zero-to-one evidence: you have stood up operating models, metric systems or launch motions where nothing existed before, not only optimized mature ones
- A clear point of view on how enterprise and AI-native accounts should be engaged, and the ability to influence senior sales leaders and executives without direct authority
- Written for and presented to senior executives - you can produce the readout leadership reads and hold the room with Product, Finance and Engineering counterparts
- Exceptional analytical skills rooted in data but never without actionable insight: SQL, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery or similar)
- A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall
Strong candidates may also have
- Experience at an AI, infrastructure, developer-tools or API-first company with consumption-based pricing, in addition to B2B enterprise
- Familiarity with accelerated computing - GPU generations, cluster economics, utilization and goodput - or with the Ray / Kubernetes ecosystem
- Hands-on exposure to sales compensation design, quota governance and attainment reporting
- Experience operating in ambiguity at a company where the product and the operating model are both changing fast
What we can offer you
At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. Join one of the fastest-growing AI infrastructure companies - your chance to directly shape how global AI capacity is planned and deployed.
Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy - always with our full support.
Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
Equal opportunity statement
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
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.
Salary Range
$140,000 - $250,000 USD
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Nscale does not accept unsolicited candidate submissions from recruitment agencies.
Taken from Nscale's own posting, last seen live on 1 Nov 2026.
The application
Your details and CV, then 2 questions.
- 1.Will you now or in the future require Nscale to sponsor or support an immigration application for you to be authorized to work in the role's country?Yes or no
- 2.Are you currently legally authorized to work in the country where this role is based?Yes or no
From Nscale's apply page, checked 1 Nov 2026.
About Nscale
Rents GPU compute, from on-demand instances and inference endpoints to multi-year reserved clusters in its own and partner data centers, to AI labs, hyperscalers, enterprises and governments.
Pay schedule: Nscale pays a salary with a posted base band in the US and names bonus, equity and commission only as possible additions; the US benefits it lists are health, dental and vision cover, flexible time off, parental leave and a retirement plan.
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