GTM Engineer

Pigment

$125K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1-3+ years in Growth, GTM Ops, RevOps, or Automation roles within B2B SaaS.
  • Deep understanding of Sales and Outbound tactics.
  • Hands-on experience with GTM tools like n8n, Clay, and Salesforce.
  • Practical knowledge of AI workflows and LLMs.
  • A builder mindset focused on shipping and iterating systems.
  • Excellent communication skills for bridging technical and non-technical teams.

Responsibilities

  • Design and ship AI-powered GTM systems to automate workflows.
  • Own and optimize GTM automation from discovery to adoption.
  • Drive automated outbound marketing strategies for North America.
  • Build and run trigger-based outbound programs and micro-campaigns.
  • Collaborate with Sales teams to test and iterate on outreach strategies.
  • Scale winning strategies into repeatable GTM programs across the team.

Benefits

  • Hybrid work model with flexibility in remote and in-office work.
  • Opportunity to engage with cutting-edge AI technology.
  • Work closely with cross-functional teams including Sales and Marketing.
  • Direct contribution to important pipeline generation efforts.
  • Access to a culture that prioritizes continuous learning and improvement.
Full Job Description
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:
  • enable GTM teams with automations and AI-powered applications that drive real efficiency gains
  • 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:
  • 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.

Your Missions

#1 - Build & Scale AI-First GTM Automation (70%)
  1. 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).
  2. 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%)
  1. Own automated outbound motions for the North American market: Build, run, and optimize outbound programs (trigger-based, micro-campaigns, pre-event motions).
  2. 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
  • 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 125k for this position

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