AI GTM Engineer

Key Responsibilities

• Design, build, and iterate core GTM workflows, automations, and systems (e.g. lead-to-opportunity, lead tracking & routing)
• Maintain and integrate across the revenue tech stack, ensuring data integrity, consistency, and automation across tools (e.g., CRM, marketing automation, billing, analytics)
• Translate business requirements from Sales and Marketing into technical designs, build specifications, and roadmaps
• Develop dashboards, metrics, and alerts to ensure GTM teams have self‑service visibility into performance and levers
• Lead process improvement initiatives: identify inefficiencies, propose and pilot new workflows, and scale them broadly
• Own technical and process initiatives in the revenue stack, from idea through execution and ongoing optimization
• Apply technical tools, automation, and integrations (as the AI Engineer in RevOps) to support GTM motion
• Partner as a trusted operator with GTM teams, surfacing gaps, engineering scalable solutions, and driving adoption

Requirements

• 2+ years of relevant experience in AI GTM Engineering, Revenue Operations, GTM Operations, Sales Ops, or a similar technical operations role at a scaling SaaS/tech company
• Strong technical skills: familiarity with CRM systems (Salesforce or HubSpot), and automation tools
• Meticulous attention to data quality, integrity, and consistency across systems
• Excellent communication and stakeholder management skills, with ability to interface with both technical and non-technical partners
• Bias toward action and ability to execute autonomously in an evolving, often ambiguous environment
• A builder mindset: enjoys solving problems, automating manual work, and iterating quickly