AI GTM Solution Architect

About the role

This is a unique, dual-impact role. Externally, you'll be the person who turns AI strategy into working demos, templates, and agentic workflows that our NAM sales teams use every day to win enterprise deals. Internally, you will partner directly with AI GTM Leadership to architect and build custom AI-powered operational workflows that transform how our own revenue organization functions. You will play a critical role in building the infrastructure that makes every rep in NAM better at AI selling, while simultaneously engineering the internal engines that power our AI GTM strategy at scale.

What You'll Do

• Build and maintain AI-powered monday.com templates across industries and use cases
• Design and deploy agentic workflow demos for enterprise sales cycles
• Partner with AEs and SEs on AI qualification strategies, technical discovery, and ROI narratives
• Join strategic customer calls as the AI technical expert, including live builds and workflow demonstrations
• Own and continuously evolve the AI demo environment to ensure it remains current, scalable, and field-ready
• Translate new AI product capabilities into compelling field-facing solutions in partnership with Product and Marketing
• Architect and build internal AI GTM workflows and operational solutions
• Build automations and AI-driven processes that solve complex operational challenges (e.g., pipeline reviews, win/loss analysis, CI workflows)
• Partner closely with RevAI, RevOps, BI, IT, and internal AI innovation teams to align technical solutions with business needs

Requirements

• 3+ years of relevant experience in solutions architecture, technical GTM, or workflow automation, with deep hands-on expertise in monday.com - including boards, automations, integrations, and AI capabilities
• Strong technical architecture and workflow automation capabilities
• Experience with APIs, MCP integrations, and automation platforms such as n8n, Make, or Zapier
• Ability to translate technical complexity into clear business value
• Comfort operating in enterprise sales environments and customer-facing engagements
• Strong cross-functional collaboration and communication skills
• A highly proactive builder mentality with a bias toward experimentation and execution
• Deep curiosity about AI, LLMs, and emerging agentic frameworks