GTM AI Engineer (Automation & AI)
Your opportunity
As a GTM AI Engineer, you will contribute to our "Revenue Velocity" engine. You won't just be managing tools; you will identify operational friction and help build the AI-powered infrastructure that allows our Sales (SLG), Expansion, and PLG teams to focus on high-value selling. You will help build and maintain the stack that converts product signals into automated sales actions.
What you'll do
Systems & Automations: Assist in building and maintaining the systems that power our opportunity management, sales handoffs, forecasting, and post-sales workflows.
Process Optimization: Spot gaps, solve edge cases, and ensure the funnel, from first meeting to renewal, runs smoothly and intelligently.
AI-Native Automation: Deploy automations that surface "next-best actions," trigger timely follow-ups, and improve deal velocity using Clay, Boomi, Claude and Gemini.
Data Hygiene & Enrichment: Execute routine data hygiene and enrichment workflows across CRM records, ensuring data accuracy and completeness.
Workflow Testing & Monitoring: Test, monitor, and troubleshoot automated GTM workflows to identify edge cases and minimize operational drag.
Cross-Functional Collaboration: Work side-by-side with Sales, Accounts, and Marketing teams to translate operational needs into technical solutions.
Stack Evolution: Help connect disparate GTM tools into a cohesive stack and continuously improve that stack as we scale.
Execution: Turn high-level GTM goals into reliable, scalable workflows while balancing speed with quality.
This role requires
2+ years of experience in GTM systems, revenue operations, or sales architecture at a fast-moving company
Built or supported systems that power sales pipelines, post-sale processes, and customer lifecycle ops
Hands-on experience building basic automations using webhooks, APIs, or low-code platforms
Proven experience designing and executing marketing campaigns, personalized outreach, and lead nurturing strategies
Enjoyment of working closely both with technical and non-technical teams to turn operational problems into clean system design
Innate curiosity, a hands-on approach to experimentation, and strong analytical problem-solving skills
Deep familiarity with key platforms across the modern GTM ecosystem including Salesforce, Hubspot, Salesloft, Marketo, Clay
Proficiency in analytics and working with SQL to derive insights from data
Experience maintaining database integrity across sales and marketing platforms through data validation, deduplication, and list hygiene
A strong passion for applying AI to automate and enhance customer and sales workflows
Bonus points if you have
Hands-on experience designing AI-native products — MCP server, agentic workflows, autonomous systems, AI confidence visualization, human-in-the-loop flows, or building user trust in AI-generated outputs
1+ years of experience with iPaaS tools including but not limited to Boomi, Workato, Zapier, Celigo, n8n, Gong
Experience with observability, incident response, or developer-facing infrastructure products
Please note that visa sponsorship is not available for this position.
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The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant’s skills, qualifications, and experience.
New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time-off, and other competitive benefits designed to improve the lives of our employees.
Estimated Base Pay Range
$95,000—$119,000 USD