Pigment GTM Engineer to design, build, and scale AI-first GTM systems and contribute to pipeline generation across the US market. Operate at the intersection of builder, operator, and PM to automate GTM workflows and own outbound motions.
Responsibilities
Based in New-York, US
We’re hiring a GTM Engineer to design, build and scale AI-first GTM systems, and to directly contribute to pipeline generation across our US market.
This is a hybrid role by design:
70% applied AI (internal GTM products, workflows)
30% pipeline ownership & outbound experimentation
You’ll operate at the intersection of builder, operator, and PM - turning manual GTM best practices into scalable, repeatable systems, and owning pipeline generation through those systems.
#1 - Build & Scale AI-First GTM Automation (70%)
Design & ship AI-powered GTM systems: Turn proven GTM workflows into scalable automation building internal tools and AI agents (e.g. expansion insights, deal intelligence, AE > CS handoffs, and GTM copilots).
Own GTM automation as a product, from discovery to adoption, while continuously measuring, optimizing, and scaling its impact on GTM efficiency, automation ROI, and pipeline influence to unlock step-change productivity.
#2 - Drive Pipeline Generation in North America (30%)
Own automated outbound motions for the North American market: Build, run, and optimize outbound programs (trigger-based, micro-campaigns, pre-event motions).
Run experiments and scale what works with the field: Partner closely with Sales Managers and Sales Reps to test targeting, messaging, and automation strategies; incorporate field feedback, double down on winning plays, and turn them into repeatable GTM programs rolled out across the NA team.
Qualification
1–3+ years of experience in GrowthA builder mindsetWe are targeting a Salary around $125
Required
1–3+ years of experience in Growth, GTM Ops, RevOps, Automation roles in a B2B SaaS environment.
Deep understanding of Sales & Outbound tactics.
Strong hands-on experience with GTM tools (n8n, Clay, Salesforce, etc).
Practical experience using LLMs and AI workflows (prompting, agents, human-in-the-loop systems).
A builder mindset: you like shipping, iterating, and improving systems end-to-end.
Strong communication skills - you can bridge technical and non-technical teams and bring clarity to complex problems.
We are targeting a Salary around $125,000-$143,750 for this position
