GTM Engineer

Role overview A go-to-market engineering role that sits at the intersection of revenue, data, and AI tooling. The mission is to convert external business signals into qualified pipeline by combining enrichment, automation, and workflow design. Success means account research, prospect routing, and AI-driven workflows that reduce manual busywork for revenue teams while improving signal quality.

Responsibilities - Build signal-based prospecting systems that mine licensing announcements, funding rounds, security incidents, and hiring activity. - Own the enrichment and data stack that turns raw public signals into structured account and contact records. - Design and ship AI-powered workflows that research accounts, summarize context, and draft next-best actions. - Route qualified signals to the right deal owners in a timely manner so follow-ups feel relevant rather than generic. - Partner with sales and marketing leadership to refine targeting criteria and feedback loops. - Measure conversion and signal quality, iterating on data sources, prompts, and routing logic based on outcomes.

Requirements - Hands-on experience with sales, growth, or revenue engineering, or equivalent work building internal tools for go-to-market teams. - Comfort working with data pipelines, enrichment APIs, and event or scraping inputs. - Familiarity with AI workflows, including prompt design, evaluation, and integration into broader tools. - Ability to own a stack end to end, from data ingestion through surfacing for end users. - Strong product sense for what makes an outbound signal actionable for a deal owner. - Pragmatic engineering fundamentals, with the judgment to ship useful tools quickly rather than over-engineer.

Nice to have - Experience with B2B SaaS go-to-market motions and the tooling that supports them.