Founding GTM Engineer at On The Stage | New York City, NY

On The Stage

Founding GTM Engineer

New York City, NY (Remote)

Salary Not AvailableSenior LevelFull time

Posted 2 months ago

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Job Summary

Own the GTM growth engine by building a measurable pipeline system, scaling experiments, and automating AI-driven workflows that accelerate funnel speed and conversion across Marketing, Sales, and CS.

Own pipeline generation and revenue-growth outcomes with end-to-end ownership of data, tooling, and governance.
Architect AI-powered, signal-based GTM automations and continuous experiments to test new channels and improve velocity and win rates.
Map the prospect journey to reduce bottlenecks, enable faster handoffs, and maintain a single source of truth across systems.

Job Description

Own the pipeline number and the system that produces it — how it’s generated, measured, orchestrated across the business, and improved over time.
Drive measurable increases in qualified pipeline (Sales) and account expansion (CS upgrades and adoption) as the primary outcomes of this role.
Run a continuous experimentation system with clear hypotheses, rapid launches, instrumented measurement, and fast keep-or-kill decisions.
Identify, test, and scale new acquisition channels, growth motions, and ecosystem opportunities.
Design and build automation and AI-powered solutions across GTM systems — including signal-based workflows that act on buyer intent, engagement, and lifecycle events to improve speed, relevance, and conversion.
Build and support automated outbound and engagement workflows, including enrichment, qualification, routing, and Sales handoff, in alignment with GTM strategy and system governance.
Leverage AI to enable contextual personalization at scale across GTM motions — reducing manual effort, increasing seller efficiency, and improving message relevance and consistency.
Drive end-to-end implementation of GTM automation across platforms owned by GTM (e.g., Qualified, RB2B, HubSpot, Clay) — from design through deployment and optimization.
Where appropriate, develop proofs of concept and early-stage architecture to validate outcomes before accelerating production deployments.
Map and audit the full prospect-to-customer journey to identify bottlenecks, data silos, and manual redundancies that constrain growth.