GTM Engineer – Part-Time Student Associate

About OH.ioOH.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.

GTM Engineer – Part-Time Student Associate 

Location: Columbus, OH (In-Person)

Hours: Part-time (Up to 20 hours/week, flexible around class schedules)

Target: Ambitious students majoring in CSE, CIS, Data Analytics, MIS, or related technical fields.

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 a 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.

The Role

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.

Key Responsibilities

• Data Infrastructure: Help create and maintain the data layer across portfolio CRMs, ensuring data accuracy and synchronization.
• AI & Automation Workflows: 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.
• Pipeline Integration: Help architect lightweight data pipelines connecting modern GTM tools such as HubSpot, Clay, HeyReach, Instantly and other tools. 
• Analytics & Modeling: Assist in developing lead scoring models, pipeline forecasts, and conversion analyses to give sales teams a sharper view of where to focus.
• API Integrations: Integrate third-party APIs and MCP servers to expand data coverage and automate enrichment workflows.
• Dashboards & Reporting: Contribute to building clear, intuitive dashboards tracking KPIs, pipeline health, and GTM performance for non-technical teammates.
• Cross-functional Collaboration: Partner with RevOps, SDRs, AEs, and marketing specialists to ship real, day-to-day data solutions.

Qualifications & 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.