GTM Automation Engineer: AI Pipeline Builder

CaptivateIQ, Inc.

United States

Remote

USD 140,000 - 200,000

Full time

26 hours ago
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Job summary

CaptivateIQ, Inc. is hiring a GTM Engineer to design, build, and maintain agentic GTM motions that generate pipeline at scale. You will deploy agents that book meetings and create context across the team, collaborating with Marketing, BDRs, and AEs.

This builder role emphasizes learning velocity and a growth mindset, with a focus on shipping, measuring, iterating, and driving measurable pipeline impact in an emerging field influenced by AI advances.

Qualifications

  • Proven projects using AI coding agents and martech tools to build agentic solutions.
  • Domain experience in GTM Engineering, Sales Development, Marketing Operations, Sales Operations, or Revenue Operations.
  • Data-driven mindset with ability to instrument experiments and iterate quickly.
  • Excellent written communication for templates, prompts, and agent frameworks.

Responsibilities

  • Design, build, and optimize automated outbound sequences with agentic workflows.
  • Collaborate with marketing and GTM teams to generate pipeline end to end.
  • Build and maintain shared context system for agents across org.
  • Deploy automations to increase BDR/AE effectiveness.
  • Instrument and report on sequence performance and translate into an experimentation roadmap.
  • Align agentic motions with target segments and buyer journey.
  • Evaluate and maintain tech stack (Clay, coding agents, enrichment, sequences).

Skills

GTM Engineering
AI agent workflows
Data-driven mindset
Written communication

Tools

Claude Code
Cursor
Copilot
Clay

Job description

CaptivateIQ, Inc. is hiring a GTM Engineer to design, build, and maintain agentic GTM motions that generate pipeline at scale. You will deploy agents that book meetings and create context across the team, collaborating with Marketing, BDRs, and AEs.

This builder role emphasizes learning velocity and a growth mindset, with a focus on shipping, measuring, iterating, and driving measurable pipeline impact in an emerging field influenced by AI advances.

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