GTM engineering
People ask what a GTM engineer actually does, so here's the honest version: I build the machinery a startup uses to find and win customers. Sales and marketing decide who we should talk to and what we should say. I build the systems that make that happen at scale, and keep them running.
I do this full time at GoodBox, where I'm a GTM Associate. GoodBox builds conversational AI voice and chat agents for sales, support, and recruitment.
The job carries the sales side as well as the systems. I still build the machinery, and I also work the motion it feeds, which means I'm the first person to find out when something I built doesn't survive contact with a real conversation.
Day to day
What I build
Outbound research systems
Sourcing the right companies, enriching them from public evidence, and scoring every account against an ICP. Most of my week lives here.
Evaluation and reporting
An evaluation loop for GTM content — golden sets and rubric-based LLM judging — so messaging changes get decided on measured output rather than opinion. Plus the CRM data operations and funnel reporting underneath it.
Agentic workflows and internal tools
Wherever a GTM task repeats, I make software do it. Agentic workflows against production APIs, and internal tools so the team spends its time on conversations instead of busywork.
The sales motion itself
Part of my week is the selling, not the tooling: working the accounts my own systems surfaced, qualifying them in conversation, and carrying them forward. It's the shortest feedback loop I have. What breaks in a live conversation gets fixed in the system the same week.
History
Before this
Ollive AI Consultant · May 2026 – Aug 2026
An early-stage startup selling AI agents into liability insurance. I built the outbound research, enrichment, and account-scoring systems, and the evaluation loop for GTM content on top of them. A regulated buyer, a long cycle, and a few hundred accounts that actually mattered. That was the constraint everything ran under.
ByteMill Founder · Apr 2026 – May 2026
I started a company. I spent the first month on demand research instead of building, the research said the market wasn't there, and I shut it down in five weeks rather than spend a year finding out the slow way.
Vanguard Developer · Apr 2023 – Sep 2023
Developer on investment-management applications used by global clients.
Drexel University Sep 2020 – Mar 2023
Research assistant at the Wireless Systems Lab, teaching assistant for the College of Computing & Informatics. I lived in the US for four years.
Education
123 credits toward a BS in Computer Science at Drexel. Currently doing a BS in Data Science & AI at IIT Guwahati.
The tool stack
Python · SQL · JavaScript · Claude API · OpenAI API · MCP · Clay · Apollo · HubSpot