GTM Strategy Lead

What you'll do
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