Principal AI Go-to-Market Operations Engineer

Required Qualifications

• 5+ years of experience in Marketing/Revenue Operations or GTM Engineering. Deep understanding of the “Leads-to-Revenue” funnel and “Best-in-Class” SaaS ecosystems.
• Ability to write and maintain production integrations — Python, JavaScript, html, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don’t need to be a software engineer, but you need to ship working code, not just configure no-code tools.
• Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Clay, Claude, Outreach, Gong or Chorus, etc
• Proven track record of consolidating tech stacks and reducing vendor spend without sacrificing performance.
• Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to pipeline required, conversion rates by stage, and the specific AI interventions that move each number. If someone says “we need 20 opportunities per quarter at 20% win rate and $75K ASD,” you should immediately know where AI can compress that funnel.
• Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce).
• Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup.
• Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all.