GTM Engineer, Web

Skills covered in University

About the role

As the AI Solutions Specialist for Web on Toast's Marketing Operations AI team, build the AI workflows and experiences that speed up web production and increase website conversion, and help drive AI adoption and fluency across the broader marketing org.

What you'll do

• In your first 6 months, measurably cut web production cycle time and lift visit-to-opportunity conversion through AI-powered site experiences.
• Map the page and copy the production process, including the SEO, PMM, Legal and Brand checkpoints, and build AI workflows that cut cycle time and rework.
• Standardize requirements intake with templates, intake agents and automated briefs.
• Build efficiencies in Contentful, its plug-ins and connected tools with Web Platform engineering.
• Find and fix bottlenecks in the web scrum process, from prioritization through deployment.
• Assist in building AI-powered experiences that improve visit-to-opportunity conversion.
• Build first-party AI tools for use on the Web, including prompts and evals.
• Configure and improve third-party tools: on-site chat, data enrichment, voice AI and personalization.
• Set guardrails for AI on the public website with Legal, Brand and Privacy.
• Define success metrics, run experiments to prove impact, and monitor live tools.
• Build reusable systems, and document playbooks so teams can run tools on their own.
• Share what works beyond the Web through demos, training and office hours, and help shape marketing's AI standards and tools.
• Advise on build vs. buy decisions.

What we're looking for

• 5+ years in web operations, web production, CRO/growth, marketing technology or solutions engineering, with recent hands-on AI building.
• Shipped AI agents or automated workflows that teams use every day.
• Experience running or redesigning a website production process (CMS, intake, review, release). Contentful preferred.
• Experience designing experiments and tying website changes to pipeline.
• Experience with evals, monitoring and guardrails for customer-facing AI.
• Clear communicator with technical and non-technical teams, with experience training others on new tools. Works independently end to end.
• Nice to have: on-site chat, chatbot, voice AI or personalization tools.
• Nice to have: LLM APIs and agent tooling (Anthropic, OpenAI, Gemini, MCP, RAG) and automation platforms (Zapier, Workato, n8n).
• Nice to have: AI governance, including legal review, accessibility, privacy and consent.
• Nice to have: web-to-CRM lead flow, including forms, enrichment, routing and attribution. Clay is a plus.

Posted

3 hours ago · Oct 15, 2026