GTM Engineer

What you will do

• Design and ship AI agents that automate marketing execution — SEM optimization, paid social content, programmatic outbound, and more
• Build prospect-facing agentic workflows that operate at scale across email, Meta, and LinkedIn
• Architect prompt systems, orchestration logic, and evaluation frameworks to ensure agent reliability
• Build V0s of new growth initiatives using AI coding tools (Claude Code, Cursor), prove them with stakeholders, and partner with growth engineering to productionize
• Apply infrastructure built by growth engineering (vector databases, agent memory, scoring models) to create applications the marketing and growth teams use daily
• Build and maintain enrichment pipelines, lead scoring systems, and routing logic that power the marketing and growth engine
• Find, test, and scale new intent signals and engagement triggers that deliver alpha for pipeline generation
• Run structured experiments on agent behaviors, signals, and automation approaches — ship fast, measure, iterate or kill
• Track the performance and ROI of what you build; use data to inform what gets scaled vs. sunset

What you will need

• Track record of building and shipping AI-powered or automated systems in a professional role, as a founder, or through substantial side projects
• CS degree or equivalent technical background. You understand concurrency trade-offs, system architecture, and can reason about why something is slow and how to fix it
• Business-savvy with GTM intuition. You understand how marketing, growth, and pipeline generation work, and you have opinions on what good outbound looks like
• Hands-on experience building with LLMs: prompt engineering, agent orchestration, evaluation loops. You've built at least one agent, even as a side project
• AI-native. You stay at the frontier of new tools, frameworks, and agent architectures, and you bring ideas back to the team about what to integrate next
• High agency and natural curiosity. You identify problems before anyone asks, run down rabbit holes, and experiment relentlessly
• Knows when to use Kimi vs. Opus and why it matters