GTM Engineer, Marketing

What You’ll Do

• Build AI agents from scratch that autonomously execute marketing workflows, including content generation, campaign development and launches, audience segmentation, creative testing, paid channel performance optimization, competitive intelligence gathering, win/loss analysis, and sales enablement content production.
• Integrate AI APIs, LLMs, and automation platforms (Actively, Glean, Workato, Zapier, Clay, and others) alongside existing point solutions in our tech stack to create scalable, production-grade solutions across Ironclad's marketing motion.
• Break down marketing workflows into the components agents need: skills, tools, memory, guardrails, evals, and feedback loops.
• Design self-improving systems where agents monitor outputs, learn from outcomes, and compound in quality over time without manual babysitting.
• Partner with Marketing and Strategy teams to deeply understand their needs, ruthlessly prioritize the highest-impact work, and move quickly from problem to working solution.
• Own the full lifecycle, from identifying which workflows to automate, to prototyping, to production deployment, to monitoring and iteration.
• Pilot and evaluate emerging AI tools and agentic frameworks; bring what you learn into production fast and help build the case for scaling what works.
• Build reusable agent infrastructure and documentation so the marketing team can operate, trust, and self-serve on what you've built.
• Collaborate cross-functionally with GTM Systems, Revenue Operations, and BizTech to develop a deep understanding of Ironclad's full tech stack and select the right AI tools and platforms for each use case.

Qualifications

• You've built multi-agent systems with orchestration layers and inter-agent communication.
• 3+ years of experience in Marketing Operations, GTM Operations, Growth Engineering, Growth Marketing, or a closely related role with demonstrated, production-level AI or automation work.
• Ability to translate ambiguous business problems into clear technical AI solutions.
• Proven track record building and shipping AI agents or automated workflows in production environments, with measurable impact on revenue growth or operational efficiency.
• Hands-on experience integrating AI APIs, LLMs, and automation platforms (e.g., Workato, Zapier, Clay, n8n, or similar).
• Strong understanding of agentic AI concepts: tool use, RAG, evals, observability, structured outputs, orchestration, and error handling.
• Familiarity with core GTM and marketing platforms (Salesforce, Marketo, intent platforms, etc.) and how they connect to AI layers.
• Experimental mindset: you build and validate fast and iterate constantly.
• Communicates clearly, owns work end-to-end, and doesn't wait to be told what to build next.

Preferred

• Experience with multi-agent orchestration, MCP servers, or building internal tools adopted by non-technical teams.

Base Salary Range

$145,000.00 - $167,000.00