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Remote-friendly role, mid-level experience range, and metro location increase competition.
Highly GTM- and Salesforce-specific AI responsibilities reduce cross-industry transferability.
Explicit 5+ years, required production coding, and mandatory GTM/AI tech stack require strict shortlisting.
Architect and deploy custom AI integrations connecting CRM, sales engagement, and other GTM tech stack components to drive pipeline generation and deal acceleration.
Optimize revenue ecosystem by auditing tech stack, replacing redundant vendors with AI, and implementing predictive models for sales action recommendations.
Collaborate cross-functionally to build AI-driven customer retention, automate renewals, and train GTM teams to effectively utilize AI tools.
5+ years experience in Marketing/Revenue Operations or GTM Engineering with deep knowledge of leads-to-revenue funnel and SaaS GTM ecosystems.
Proficiency in coding production integrations using Python, JavaScript, HTML or equivalent to connect AI agents with CRM, MAP, and sequencing tools via APIs.
Strong expertise in modern B2B GTM stack including Salesforce, Clay, Claude, Outreach, Gong or Chorus.
Work Experience Required: 5+ years in relevant roles.
Experienced in consolidating and optimizing B2B SaaS GTM tech stacks to reduce vendor spend without compromising performance.
Skilled in AI agent orchestration, including building prompt libraries and data training workflows for multiple AI agents managing different GTM functions.
Analytical capability to apply pipeline math and unit economics to identify AI interventions that effectively compress sales funnel stages.