GTM (Go To Market) Engineer

Acres•Fayetteville, AR

13d

About The Position

As a GTM Engineer, you will own the technical infrastructure that powers our entire go-to-market motion. This is not a traditional sales or RevOps role — it's a builder role. You'll design, build, and automate the systems that connect our CRM, data sources, AI tools, and outreach channels into a single, high-efficiency revenue engine.

Requirements

Builder Mentality: You see a broken process and you can't help but fix it. You don't just identify problems — you ship solutions.
Technical Fluency: Comfortable working across CRMs (HubSpot/Salesforce), automation platforms (Clay, Zapier, Make), data enrichment tools (ZoomInfo, Apollo), and AI tools. You don't need to be a software engineer — but you think like one.
Sales Acumen: You understand the sales process well enough to build systems that actually help reps close. You've been in the trenches or close to them.
Data-Driven: You make decisions based on numbers, not vibes. You can set up an experiment, measure results, and explain what happened.
Curiosity: A genuine desire to learn about customer businesses, new technology, and how to make everything around you better.
Communication: You can translate technical concepts to non-technical teammates and explain the "why" behind the systems you build.

Nice To Haves

Prior experience in Sales, RevOps, or Sales Engineering
Startup and/or B2B SaaS experience
Prior experience with tools like Claude, Clay, HubSpot, Salesforce, ZoomInfo, Apollo, Gong, Titan, and/or automation platforms like Zapier and Make
Familiarity with APIs, webhooks, and basic scripting (Python, JavaScript) is a strong plus
Bachelor's degree or equivalent (Business, Sales, or Tech focus preferred)

Responsibilities

Automation & Integration
Connect and configure CRM systems (HubSpot/Salesforce) with external data sources, enrichment tools (ZoomInfo, Apollo), and AI platforms for lead enrichment and prospecting.
Build and maintain integrations across the GTM tech stack using tools like Clay, Zapier, Make, and custom scripts.
Eliminate manual, repetitive tasks so the revenue team can focus on selling, not spreadsheet wrangling.
Data Pipeline Construction
Create efficient workflows to move, clean, and analyze data across the GTM tech stack.
Build lead scoring models and account prioritization logic that help reps focus on the highest-value opportunities.
Ensure data integrity and hygiene across all systems — garbage in, garbage out is not an option.
AI Implementation
Deploy AI tools to generate personalized outreach at scale — relevant messaging, not spam.
Use AI for account research, signal detection, and buying intent analysis to sharpen targeting.
Stay on the cutting edge of AI-powered sales tools and continuously test new approaches.
Revenue Operations Support
Shift manual, one-off processes into scalable, repeatable systems that give the team a competitive edge.
Own reporting and analytics infrastructure — build dashboards and attribution models that tell the team what's working and what's not.
Serve as the technical resource for the BDR team: train reps on new tools, workflows, and prospecting best practices.
Experimentation & Optimization
Run rigorous A/B tests on outreach strategies, sequences, and messaging — then bring the data back to the team.
Proactively identify bottlenecks in the sales funnel and recommend (then build) technical solutions to fix them.
Create the repeatable processes, templates, and playbooks that elevate the performance of the entire sales org.