Ohio State University
GTM Engineer - Data & Analytics
Columbus, OH
Sponsorship not specifiedDetected 56 days ago
PythonReactRailsData EngineeringLLMsAgentic AIHubSpotCRMSalesProblem Solving
About the role
- About OH. io OH.io is transforming Columbus into America's startup technology capital - the global hub where capital, talent, and opportunity converge.
- 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.
- GTM Engineer - Data & Analytics The GTM Engineer (Data & Analytics) is a technical operator embedded within OH.io's GTM Pods, reporting to the Director of Demand Generation.
Responsibilities
- Create and maintain GTM data infrastructure - owning the data layer across portfolio CRM's
- Build and deploy agentic AI workflows using LLMs and automation tools (n8n, APIs) to surface insights and trigger actions across the sales cycle
- Develop lead scoring models, pipeline forecasts, and conversion analyses that give sales teams a sharper view of where to focus
- Partner with RevOps, SDRs, AEs, and marketing specialists inside Pods to ship solutions that solve real, day-to-day GTM problems
- Support portfolio companies with hands-on data and technical work during onboarding and scaling
- Familiarity with LLMs and AI tooling - comfortable building prompts, agents, or wiring up AI APIs
Requirements
- Experience in React, Rails, Python or SQL.
- Ability to show a portfolio of work: scripts, automations, models, dashboards - something built, not just described
- Coding is your default skillset. Experience in React, Rails, Python or SQL.
Nice to have
- Working knowledge of B2B GTM systems (HubSpot, Clay, Instantly, Gong) or a demonstrated ability to pick up new tools fast
- Experience with workflow automation (n8n, Zapier, or custom API integrations) is a plus
- Comfortable working in a fast-moving, startup environment where the scope of the role will grow with you
Benefits
- Integrate third-party APIs and MCP servers to expand data coverage and automate enrichment workflows
- Build dashboards and reporting that track KPIs, pipeline health, and GTM performance in a way non-technical teammates can act on
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