GTM Engineer

Teleport

About The Position

We’re hiring a GTM Engineer to join our Demand Generation team and help build the systems that generate pipeline. This role sits within our GTM Engineering function—a center of excellence embedded inside Demand Gen that helps every team member leverage AI and automation in their day-to-day work. This is not a marketing operations role. It’s a pipeline generation role with an engineering mindset. You’ll spend most of your time building and optimizing digital advertising campaigns across LinkedIn, Meta, Reddit, X, and Google—using AI tools like Claude and Clay to orchestrate targeting, creative iteration, and performance optimization at a pace that manual workflows can’t match. You’ll also build and maintain projects across the broader demand gen org: events, social media, content generation, and more. But your primary lens is always pipeline. Every system you build, every workflow you automate, every experiment you run should tie back to generating and accelerating qualified pipeline. Equally important: you’ll be a teacher and enabler. Our GTM Engineering model doesn’t hoard expertise—it distributes it. You’ll help teammates build and refine their own AI-powered projects, raise the technical floor across the team, and make sure every demand gen team member develops real GTM engineering skills. You report to the Manager of GTM Engineering.

Requirements

3–6 years in demand generation, growth marketing, or digital advertising in a B2B SaaS environment
Hands-on experience managing paid campaigns across at least two of: LinkedIn, Meta, Google, Reddit, or X—with a clear understanding of how each platform’s mechanics translate to pipeline
Demonstrated use of AI tools (Clay, Zapier, Claude Code, or similar) to automate marketing workflows—not just prompting, but building real systems
Comfort with APIs, webhooks, and data integration tools; you can connect systems without waiting for engineering
Strong analytical instincts: you can read a funnel, diagnose a conversion problem, and design an experiment to fix it
A marketing brain, not just a technical one. You understand why campaigns work, not just how to build them. You can reject a bad idea as effectively as you can implement a good one
Track record of contributing to pipeline—not just activity metrics. You think in terms of qualified opportunities, not clicks

Nice To Haves

You’ve been the person on a marketing team who built the thing no one else knew how to build—and then showed others how to use it
You’ve managed meaningful ad budgets and made hard calls about where to cut spend and where to double down
You’re skeptical of tinkering for its own sake. You’ve seen the difference between building something clever and building something that moves pipeline
Experience with infrastructure, security, or developer-focused products is a strong plus—you’ll need to understand our buyer to market to them
Familiarity with tools in our stack: Salesforce, Marketo, Outreach, 6sense, Clay, Google Analytics
Experience with workflow automation platforms (n8n, Zapier, Make, or similar) to build multi-step integrations across marketing and sales tools without engineering support
Familiarity with ad reporting and BI tools like funnel.io or Looker to build and maintain cross-platform spend and performance dashboards

Responsibilities

Build, manage, and optimize paid campaigns across LinkedIn, Meta, Reddit, X, and Google Ads with a focus on pipeline outcomes—not vanity metrics
Use AI tooling (Claude, Clay) to automate audience building, creative variation, bid optimization, and performance analysis
Design and run structured experiments across channels, creatives, audiences, and landing pages—with clear hypotheses and measurable outcomes
Own reporting on ad spend efficiency, pipeline attribution, and conversion metrics; surface insights that change strategy, not just confirm it
Monitor platform changes, new ad formats, and algorithm shifts; adapt campaigns proactively rather than reactively
Build AI-powered workflows that support events, content generation, social media, and nurture programs
Create systems that connect campaign data, enrichment signals, and CRM to improve targeting and personalization across channels
Automate repeatable processes across the demand gen function—eliminating manual work while maintaining quality and control
Collaborate with teammates across field marketing, content, partner marketing, and sales enablement to deliver projects that serve the full pipeline
Help demand gen teammates build, troubleshoot, and improve their own AI-powered projects—working alongside them, not just for them
Contribute reusable templates, prompts, and workflows that raise the team’s technical capabilities over time
Share what’s working (and what isn’t) openly; build a culture where the whole team gets better at GTM engineering, not just the GTM engineers