GTM Engineer specializing in Clay orchestration, AI-powered prospecting, and automated sales infrastructure. I bridge the gap between data engineering and outbound growth to build systems that scale.
I bridge the gap between complex data engineering and high-performance sales outreach using the modern GTM stack.
Legacy outbound is dead. Modern revenue teams require hyper-targeted data enrichment and AI-driven workflows to break through the noise. My systems combine **Clay orchestration**, automated intelligence, and bespoke outreach to turn cold prospects into predictable pipeline.
I'm a GTM Engineer with 5+ years of experience transforming marketing operations into high-performance revenue engines. I specialize in Google Tag Manager, GA4, and conversion tracking to help businesses make smarter, data-backed decisions.
My mission is simple: bridge the gap between marketing and technology to create tracking systems that are accurate, scalable, and actionable.
Transform your GTM operations with our proven four-pillar approach that combines learning, reinforcement, activation, and analytics for sustained growth.
Deep-dive analysis of your current tech stack to identify data decay, workflow bottlenecks, and missed conversion signals.
Designing custom Clay workflows and multi-source enrichment pipelines that align perfectly with your unique ICP and sales goals.
Deploying the logic via Make.com and n8n to build a "hands-free" engine that personalizes outreach using AI at massive scale.
Continuous system refinement using real-time deliverability data and A/B testing to ensure your revenue engine never stops compounding.
Modern revenue teams can no longer rely on manual effort to hit ambitious targets. My GTM Engineering protocol replaces fragmented tools with unified, AI-orchestrated systems—turning complex data into a predictable, high-conversion outreach machine that scales as fast as you do.
I provide the infrastructure so you can focus on the deals. My workflows leverage over $10,000/mo in premium data enrichment, AI, and automation credits—included in every engagement to ensure your outbound never hits a ceiling.
Scale Your Infrastructure
Engineered for intent, layered with triggers, data enriched and buyer context baked in.
Book a free strategy call →Scaling revenue with our partners' technologies
A structured engineering approach to taking your GTM from manual to automated.
Real results from high-growth B2B teams.
"The GTM Engineering team transformed our outbound process. We saw a 40% increase in meetings within the first month."
"Finally, a team that understands the intersection of Sales and Engineering. Highly recommended for scaling."
"Our tech stack is finally talking to each other. The clarity we have now is worth every penny."
Select a time that works for you to discuss your GTM infrastructure.
Technical answers for founders and GTM leaders looking to scale.
Initial technical audits are completed within 7 days. Most custom Clay workflows and automated outbound engines are fully operational and sending within 14–21 days. You will see live "data-wins" almost immediately after the audit phase.
No. I act as the "Technical Architect" for your sales team. I remove the manual burden of prospecting, cleaning data, and writing emails, allowing your reps to focus exclusively on what they do best: **closing high-intent prospects.**
I specialize in the "Power Stack": Clay for waterfall enrichment, Make.com/n8n for system orchestration, Instantly/Smartlead for deliverability, and Apollo/Prospeo for raw data. I also integrate seamlessly with Salesforce and HubSpot via custom API connections.
A major advantage of working with me is that I leverage my own enterprise-grade GTM stack. I cover over $10k/mo in credit costs across premium tools like Clay and various data providers, meaning you don't need to manage dozens of separate, expensive subscriptions.
Absolutely. While I architect and maintain the "brain" of the operation, all workflows, leads generated, and CRM logic belong to you. My goal is to build an asset for your company that compounds in value over time.
The "Engineering Difference" is that I don't use generic lists. I build custom scrapers and AI-prompts that look for specific triggers—like recent job hires, tech-stack changes, or specific keywords in LinkedIn posts—to find prospects that traditional databases miss.