GTM Engineer
At a glance
Mid-level Solutions & Sales Engineering role at Pigment. New York · full-time · $125,000–$143,750 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Build AI agents and internal tools that automate prospecting, expansion insights, deal intelligence, and AE-to-CS handoffs
- Take GTM automation from discovery through adoption, tracking efficiency, return on automation, and pipeline impact
- Run trigger-based outbound, micro-campaigns, and pre-event programs across the North American market
- Test targeting, messaging, and automation with sales managers and reps, then scale successful plays
- Own pipeline generation while turning manual GTM practices into repeatable systems
What you bring
- At least one year in Growth, GTM Ops, RevOps, or automation within a B2B SaaS setting
- A strong grasp of sales and outbound methods, with hands-on use of n8n, Clay, Salesforce, or similar GTM tools
- Practical experience with LLM prompting, agents, and human-in-the-loop AI workflows
- Clear communication across technical and non-technical groups, plus an end-to-end habit of shipping and improving systems
Who this fits
You’ll suit a builder-operator who can combine applied AI work with outbound pipeline ownership. The role is based in New York and uses a hybrid setup, with most time focused on AI-first GTM systems and the remainder on North American outbound. It calls for close work with sales managers and reps and includes background checks before formal employment.
From the employer
About the Growth Team at Pigment
GTM Engineering builds AI-first products and systems that help Pigment's GTM organization - Sales, Marketing, Customer Success, and RevOps - operate with greater speed, focus, and leverage.
Our mandate is twofold:
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enable GTM teams with automations and AI-powered applications that drive real efficiency gains
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directly generate pipeline through AI-powered, automated outbound motions across our North America market.
We build the internal tools and agents behind high-impact GTM workflows, including prospecting intelligence, expansion insights, outbound automation... Our work combines product craft, applied AI, hands-on GTM operating experience, and a tight feedback loop with the field.
The Role
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:
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70% applied AI (internal GTM products, workflows)
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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.
Your Missions
#1 - Build & Scale AI-First GTM Automation (70%)
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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).
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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%)
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Own automated outbound motions for the North American market: Build, run, and optimize outbound programs (trigger-based, micro-campaigns, pre-event motions).
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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.
What We’re Looking For
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1–3+ years of experience in Growth, GTM Ops, RevOps, Automation roles in a B2B SaaS environment.
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Deep understanding of Sales & Outbound tactics.
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Strong hands-on experience with GTM tools (n8n, Clay, Salesforce, etc).
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Practical experience using LLMs and AI workflows (prompting, agents, human-in-the-loop systems).
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A builder mindset: you like shipping, iterating, and improving systems end-to-end.
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Strong communication skills - you can bridge technical and non-technical teams and bring clarity to complex problems.
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