GTM Engineer

Key Responsibilities

• Optimize and integrate the GTM workflows across tech stack including HubSpot, Clay, n8n, Zapier, Claude, and related data/automation/platform tools including MixPanel, Impartner and more.
• Ensure consistency of data structure, hygiene and architecture across GTM tools and systems, supporting GTM scale.
• Design and implement scalable AI-driven workflows for lead enrichment, routing, scoring, and customer engagement across Marketing, SDR, Sales, and Partners.
• Build dashboards and attribution models to provide real-time visibility into pipeline health, campaign performance, and revenue impact.
• Integrate AI and automation across GTM operations to improve segmentation, personalization, and efficiency at scale.
• Partner with Demand Gen, Web, SDR, and Partner teams to operationalize campaigns and automate repeatable processes end-to-end.
• Ensure clean, synchronized data across HubSpot, Sales, and Partner systems, with a focus on data quality and governance.
• Drive CRO initiatives: design, execute, and analyze experiments to improve funnel performance and conversion rates.
• Evaluate and pilot new AI, RevOps, and automation technologies (e.g. Clay, n8n, Claude Cowork, and emerging GTM tools) to stay ahead of the curve.

Requirements

• 5+ years in Marketing Operations, RevOps, or GTM Systems Engineering.
• Deep hands-on experience with HubSpot: workflows, automation, reporting, and integrations.
• Strong proficiency with AI and workflow automation tools, including Claude, n8n, Zapier/Make, and ChatGPT-style APIs.
• Solid understanding of data architecture and APIs across GTM systems (HubSpot, Salesforce, Web, Paid Media, BI tools).
• Working knowledge of Python, SQL, and data modeling for building and validating automations.
• Experience running CRO programs: hypothesis creation, experiment design, and statistical analysis.
• Strong analytical and problem-solving skills with the ability to translate business needs into automated systems.
• Natural curiosity and passion for new AI, RevOps, and GTM technologies.

Not a Must, But a Plus

• Experience working with MSP/MSSP audiences or cybersecurity SaaS.
• Hands-on experience integrating multiple GTM systems (e.g., HubSpot + Salesforce + Web + Ads/BI).
• Familiarity with data enrichment tools, predictive lead scoring, or AI-driven personalization.
• Exposure to growth experimentation (A/B testing, funnel optimization, revenue analytics).