GTM Engineer

A fast-growing company is looking for a Go-To-Market Engineer to design, build, and automate an AI-native go-to-market engine from day one. This is a highly hands-on role at an early-stage startup, sitting at the intersection of revenue operations, sales, growth, and applied AI.

This role is ideal for someone who is deeply technical and highly creative - excited to build systems from scratch, connect modern AI tools with core sales workflows, and continuously experiment with better, faster, and smarter ways to drive growth.

You will shape how the company’s go-to-market motion operates under the hood - from lead generation and enrichment, to outreach, follow-ups, CRM workflows, and customer engagement - with AI at the center.

Key Responsibilities

Design and build an AI-native go-to-market infrastructure across sales, marketing, and customer engagement
Own and automate end-to-end GTM workflows, including lead sourcing, enrichment, scoring, routing, outreach, follow-ups, and handoffs
Connect and orchestrate tools across the stack, including CRM systems (HubSpot), data and enrichment tools (example: Clay), and AI-native tools
Build AI-driven automations for sales processes, customer engagement, and internal workflows
Partner closely with sales, marketing, and leadership to continuously improve GTM effectiveness and velocity
Experiment with new tools, models, and workflows to unlock growth opportunities and operational leverage
Maintain, evolve, and optimize GTM systems as the company grows and requirements change

Who You Are

AI-native by default - you naturally think in terms of automation, agents, workflows, and systems
Creative problem solver who enjoys building from zero and iterating quickly
Comfortable operating with ambiguity and defining structure where none exists
Highly hands-on, with strong ownership and bias toward execution
Able to think both strategically (how should GTM work?) and tactically (how do I build this today?)
Strong communicator who can work across technical and non-technical stakeholders
Thrive in fast-paced startup environments where speed and learning matter

Requirements:

Requirements

3-6 years of experience in revenue operations, sales operations, growth engineering, or a similar role
Proven experience building and automating GTM or revenue workflows
Hands-on experience with CRM systems (HubSpot strongly preferred)
Experience working with modern data, automation, and AI tools (Clay, Make/Zapier, AI agents, LLM-based tools)
Strong technical aptitude - comfortable integrating tools, building workflows, and experimenting with new technologies
Experience in cybersecurity, fintech, or AI-driven products is a strong plus

Team8:
Charm Security