GTM Engineer – Part-Time Student Associate

OH.ioColumbus, OH
Onsite

About The Position

We are looking for technically-minded student(s) to join our GTM team as a Part-Time GTM Engineer (Data & Analytics). Reporting to the Director of Demand Generation, you will help build 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.

Requirements

  • Current Student: Actively pursuing a bachelor's degree at Ohio State University or other surround universities (Current Sophomore, Junior, or Senior standing preferred).
  • Coding by Default: You have a strong foundation in one or more of the following - React, Python, SQL, or Rails.
  • Proof of Building: You can show us a small portfolio of work: personal projects/ventures, student org builds, hackathon scripts, automations, or dashboards.
  • AI Familiarity: experience with LLMs and AI tooling; comfortable building prompts or playing with AI APIs.
  • Fast Learner: You have a proven ability to pick up new tools and frameworks incredibly fast.
  • Problem-Solving Instincts: You would rather write a quick script to fix an automated workflow problem than wait for someone else to do it.
  • Adaptable: Comfortable working in a fast-moving, startup environment where your scope of responsibility will expand as fast as you can handle it.
  • Availability: Able to commit up to 20 hours per week during the academic semester, with the ability to work out of our Columbus office.

Responsibilities

  • Help create and maintain the data layer across portfolio CRMs, ensuring data accuracy and synchronization.
  • Contribute to building and deploying agentic AI workflows using LLMs and automation tools (e.g., n8n, APIs) to surface insights and trigger automated actions across the sales cycle.
  • Help architect lightweight data pipelines connecting modern GTM tools such as HubSpot, Clay, HeyReach, Instantly and other tools.
  • Assist in developing lead scoring models, pipeline forecasts, and conversion analyses to 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.
  • Contribute to building clear, intuitive dashboards tracking KPIs, pipeline health, and GTM performance for non-technical teammates.
  • Partner with RevOps, SDRs, AEs, and marketing specialists to ship real, day-to-day data solutions.
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