GTM Engineer optimizing AI-driven workflows and marketing operations at Cynomi, enhancing pipeline generation and revenue growth. Collaborating across Marketing, Sales, and SDR teams to automate processes and improve efficiency.
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.
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