ABOUT
ME AS
GTM ENGineer

Developing campaign concepts and messaging frameworks, writing ad copy, email sequences, and landing page content, creating or directing visual assets, and building content systems that can scale across channels.

I'm not just executing creative — I'm thinking about positioning and what narrative moves a specific audience toward a decision.

Building and optimizing landing pages, designing end-to-end conversion flows from ad click to form fill to follow-up, running A/B and multivariate tests, improving page speed and UX, and making sure every step of the funnel is instrumented and reducing drop-off.

Tools like HubSpot, GoHighLevel, WordPress, Webflow, Unbounce, and Framer live here.

Owning the Martech stack — selecting, implementing, and integrating tools across email, CRM, CDP, analytics, and advertising. Building automation workflows that nurture leads, trigger sequences based on behavior, and keep data clean and flowing between systems.

This includes HubSpot, GoHighLevel, Keap, Marketo, Salesforce, Segment, Clay, and Zapier-type work.

Setting up tracking infrastructure — UTM frameworks, pixel implementation, event tracking via GA4 or Clarity — and building dashboards that give leadership visibility into funnel performance, CAC, conversion rates, and channel ROI.

As GTM Engineer I make sure the team is measuring the right things and can act on the data.

Building prospecting infrastructure — enrichment workflows using tools like Clay or Apollo, outbound sequencing in tools like Outreach or Instantly, lead scoring models, and routing logic that gets the right lead to the right rep at the right time.

This is where GTM engineering overlaps heavily with sales ops.

Designing and maintaining CRM structure so it reflects the actual sales motion — pipeline stages, object relationships, custom fields, lifecycle definitions. Building the reporting and tooling that helps AEs and SDRs work more efficiently.

This helps leadership forecast accurately and keeps the entire revenue team aligned.

Running structured experiments across channels, audiences, offers, and creatives. Prioritizing what to test based on impact potential, documenting learnings, and building a compounding system of iteration rather than one-off campaigns.

Every test adds to a playbook that gets smarter over time.

Acting as the connective tissue between marketing, sales, product, and data teams. Translating business goals into technical requirements, and translating technical constraints back into strategy.

This is often what separates a great GTM engineer from a good one — the ability to align everyone around a shared revenue system.