AI GTM Engineer (Contract)

Location: Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta) Duration: Ongoing Contract Employment Type: Full-Time Contract

About the Role We are seeking an innovative, system-minded AI GTM Engineer to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions. If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.

Key Responsibilities

• AI & Agentic Workflow Architecture: Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.
• Signal & Data Orchestration: Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.
• Tech Stack Integration: Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.
• Experimentation & Playbook Design: Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).
• Team Enablement & Technical Governance: Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.

Qualifications & Skills

• Experience: 3+ years of experience in GTM Engineering, RevOps, Marketing Ops, or Growth Engineering, with direct hands-on experience building AI-driven workflows.
• AI & Automation Stack: Proficiency with GTM tools (e.g., Clay, Make, Zapier, n8n) and LLM tools/APIs (OpenAI, Claude, custom GPT agents, Model Context Protocol).
• CRM & Data Systems: Strong technical understanding of Salesforce or HubSpot, data enrichment providers, API integrations, and JSON/Python scripting for system connectivity.
• Data-Driven & Problem Solver: Analytical approach to system optimization, root-cause debugging, and pipeline conversion metrics.
• Location & Availability: Must be based in the Greater Atlanta, GA area and able to work in a hybrid capacity (in-office collaboration in Atlanta).

Preferred Qualifications

• Background in computer science, software engineering, or technical operations.
• Proven track record of setting up automated outbound signaling waterfalls from scratch.
• Experience implementing AI copilots or custom internal tools for sales/marketing teams.