GTM Engineer

About OH.io
OH.io is transforming Columbus into America’s startup technology capital — the global hub where capital, talent, and opportunity converge. Backed by Ratmir Timashev and powered by an AI-driven Go-To-Market Accelerator, we ignite B2B SaaS founders with GTM acceleration to build global companies from Columbus. With capital ready to deploy, a deep bench of talent, and the gravitational pull of Fortune 500 anchors, OH.io is making Columbus not just competitive—but indispensable. Through our GTM Acceleration Pods, we deliver specialized teams that drive growth and support every portfolio resident. As part of this mission, we are building a local GTM Hub office in Columbus to serve as the center of activity and collaboration.

Role Summary

The GTM Engineer is a technical operator embedded within OH.io’s GTM Pods, reporting to the Director of RevOps. This role designs, integrates, and optimizes AI-native GTM systems to accelerate pipeline creation, shorten sales cycles, and drive repeatable growth for OH.io and its portfolio companies.

Columbus, OH preferred 

Key Responsibilities

• Architect and maintain the AI-native GTM tech stack – CRM (HubSpot), enrichment (Clay), engagement (Instantly), and intelligence platforms
• Pilot, build and deploy agentic AI workflows using n8n/automation platforms and LLMs to support sales development, demand generation, and forecasting
• Build and automate workflows across sales and marketing systems to improve lead flow, enrichment accuracy, and conversion
• Integrate proprietary tools, third-party tools and APIs (MCP servers, webhooks) to ensure data accuracy and system connectivity
• Partner with RevOps, SDRs, AEs, and marketing specialists inside Pods to enable seamless execution.
• Create dashboards and reporting that track KPIs, pipeline health, and GTM performance.
• Provide hands-on technical support to portfolio companies during onboarding and scaling.
• Design context engineering systems – structure institutional knowledge, prompt libraries, and AI agent configurations that compound over time

Qualifications

• Experience in GTM operations, RevOps engineering, or sales tech implementation.
• Familiarity with LLMs and AI tooling – comfortable building prompts, agents, or working with AI APIs
• Understanding of context engineering principles – how to structure knowledge for AI systems
• Strong knowledge of B2B SaaS GTM systems (e.g., Clay, HubSpot, Instantly, Gong)
• Hands-on skills with workflow automation (n8n, Zapier, or custom API integrations)
• Familiarity with SQL, Python, or similar for data analysis preferred.
• Strong problem-solving skills and ability to translate business needs into technical solutions.
• Experience supporting sales and marketing teams in a high-growth or startup environment.