GTM Engineer

Education: Bachelor’s degree required. Technical or analytical background preferred but not required.

Experience:

5–8 years building and scaling GTM, growth, or revenue systems in a B2B environment.

Proven record of designing automation that directly influenced pipeline, revenue, or lifecycle performance.

Experience owning cross-functional execution between Marketing, Sales, and RevOps.

Background in SaaS or complex go-to-market environments strongly preferred.

Skills

• Has experience ideating about, and building, architecture across the end-to-end GTM ecosystem — from acquisition and lifecycle to expansion and outbound — with a clear mandate to shape how systems evolve, not just how they operate.

• AI-first systems architect — designs GTM automation that embeds AI at key decision points, including multi-step AI agent pipelines for research, enrichment, qualification, and hyper-personalized outreach at scale.

• Practical prompt engineering for GTM — writes, evaluates, and iterates prompts that power AI-driven enrichment, signal classification, content personalization, and outreach generation; understands how to get reliable, production-grade outputs from LLMs inside automated workflows.

• Experience translating intent data, product usage data, and engagement signals into automated plays.

• Deep experience building multi-step workflows that eliminate manual handoffs and accelerate revenue velocity.

• Ability to diagnose bottlenecks across the marketing-to-sales funnel and design systems that improve conversion.

• Build testing frameworks, not just campaigns — instrumentation, measurement, and iteration loops.

• Technically fluent across no-code, low-code, and AI-augmented tooling — extends systems and structures data using the right tool for the job, from visual automation builders to AI coding assistants to light scripting when required.

• Hands-on expertise across modern GTM systems such as:

• CRM and marketing automation platforms (e.g., HubSpot, Salesforce)

• Sequencing / outbound tools (e.g., SalesLoft, Outreach)

• Business automation platforms (e.g., Make, n8n, Zapier)

• AI-powered enrichment and GTM orchestration (e.g., Clay — including waterfall enrichment, AI-driven prospect research, and hyper-personalized outreach at scale)

• Intent data platforms (e.g., 6sense, Bombora)

• Data enrichment tools (e.g., ZoomInfo, Apollo, Clearbit)

• AI tools for GTM execution — comfortable applying LLMs and AI-native tools to signal interpretation, outreach personalization, content generation, and workflow automation

• Web analytics platforms (e.g., GA4, Heap)

• Other Requirements:

• Systems-first thinker — you see processes as products

• Bias toward building and automating over doing manual work.

• Strategic GTM architect — evaluates every automation and integration decision through the lens of pipeline velocity, revenue impact, and long-term infrastructure scalability.

• You have commercial instincts — every build is evaluated by whether it moves pipeline, not just whether it works.

• Curiosity and experimental mindset — you test, measure, and iterate rather than set-and-forget.

• Ability to operate autonomously in a fast-paced, high-accountability environment.

• Strong communicator can explain what a workflow does and why it matters to non-technical stakeholders.