GTM Engineer - Data & Analytics
Indexed description
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. This role builds data-driven GTM systems from scratch — writing code, automating pipelines, and turning sales data into clean infrastructure and actionable intelligence that drives revenue for OH.io and its portfolio companies.
Columbus, OH required.
Key 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
- Architect lightweight data pipelines that connect HubSpot, Clay, Instantly, and other GTM tools — keeping data accurate and systems in sync
- Develop lead scoring models, pipeline forecasts, and conversion analyses that give sales teams a sharper view of where to focus
- 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
- 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
- Coding is your default skillset. Experience in React, Rails, Python or SQL.
- Ability to show a portfolio of work: scripts, automations, models, dashboards — something built, not just described
- Familiarity with LLMs and AI tooling — comfortable building prompts, agents, or wiring up AI APIs
- 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
- Strong problem-solving instincts — you'd rather build a fix than wait for one
- Comfortable working in a fast-moving, startup environment where the scope of the role will grow with you
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