GTM Engineer

About the Role

Our client is a portfolio company of a tech-enabled, AI-forward private equity group with significant assets under management. They operate in a data-intensive industry where proprietary target lists and structured intelligence are a genuine competitive advantage — and they are looking for someone to own the engine that builds and maintains that edge. This is a hands-on, high-leverage GTM engineering role for someone who moves fluidly between research, tooling, and execution. You will use AI to do what used to take entire teams — scraping and structuring sector-specific data, building outbound infrastructure, owning CRM operations, and continuously experimenting with new approaches to compress research and outreach timelines.

What You'll Own

• Use AI tools and vibe-coding to build internal applications, automations, and workflows that accelerate deal sourcing and outreach

• Scrape and structure data from industry associations, licensing databases, state registries, and other sector-specific public sources to build proprietary target lists

• Conduct deep industry research — building market maps, identifying sectors, and mapping competitive landscapes using AI-assisted analysis and primary research

• Build, score, and maintain target company lists based on defined criteria, enriching and cross-referencing data from multiple sources

• Own CRM operations in HubSpot — data hygiene, pipeline views and reports, workflow improvements, and ensuring the system of record is clean and actionable

• Design and execute cold email infrastructure end-to-end — subdomain setup, inbox warmup, deliverability monitoring, sequence creation, A/B testing, and ongoing KPI tracking

• Continuously experiment with new AI tools and approaches to compress research and outreach timelines

What We're Looking For

• Someone who builds things — your default is "let me prototype this", not "let me write a spec for this"

• Comfortable vibe-coding — using AI coding assistants to ship functional tools, scrapers, dashboards, or integrations without a traditional engineering background

• Experience scraping and parsing semi-structured web data — public directories, association member lists, state licensing portals — and turning messy HTML into clean, structured data

• Strong working knowledge of HubSpot (or comparable CRM) — list management, workflows, properties, and reporting

• Hands-on experience with cold email tooling (Instantly, Smartlead, Apollo, or similar) and a solid grasp of deliverability best practices — DNS records, inbox rotation, sending limits, spam triggers

• Analytical and detail-oriented — you care about data quality and can spot a dirty CRM field from a mile away

• NYC-based or willing to be

Tech Stack

HubSpot, Clay, Web Scraping, Cold Email, Instantly, Smartlead, Apollo, AI Automation, GTM Systems, Data Enrichment, CRM Operations