GTM Engineer - Fonzi AI About Fonzi AI We're a well-funded, fast-growing startup backed by Lightspeed Ventures, revolutionizing hiring through AI. We've built a thriving marketplace connecting thousands of top engineers with 50+ companies, and we're already revenue-positive with multiple successful placements. Our vision is to build an AI-powered recruiting marketplace that will connect millions of candidates and companies, where AI recruiters learn what you do, what you're interested in, and match you to perfect opportunities automatically. The Problem You'll Solve We've gained real momentum with our Match Day model. Now it's time to build infrastructure that unlocks our next phase - scaling from dozens to thousands of participating companies. Here's the ambitious part: We don't have a proven playbook for this yet. We know we need to identify AI companies raising funds, enrich their data, score hiring intent, and intelligently orchestrate engagement across channels. But the way those pieces work together as one decision system? That's what you'll build. We have multiple channels that work in isolation (email, LinkedIn, ads, events). Your job is to build the unified engine that determines the right message, timing, format, and channel for each prospect - not as separate silos, but as one intelligent system. Some companies get a paid ad. Others get a personalized email. Others get an event invite. Others get content. The system decides what works for whom and why. What You'll Build Company Intelligence: Build the data infrastructure that identifies AI companies entering the market, monitors funding rounds, tracks organizational changes, and surfaces hiring signals. You'll evaluate and implement tools like Clay, Instantly, and others - but you own the decisions about what data matters and how to use it. Enrichment & Scoring Engine: Design systems that transform raw prospect data into actionable signals. You'll create workflows that enrich company and hiring manager information, build scoring models that predict hiring intent and engagement propensity. This is where the magic happens - scoring not just "do they have engineers to hire" but "what's the likelihood they respond to an ad vs. a direct email vs. an event invite?" The Engagement Decision Engine: This is the new part - there's no off-the-shelf solution for this. You'll build the system that routes engagement intelligently across all channels. It ingests company data, propensity scores, and historical performance (what worked for similar companies), then decides the optimal way to reach each prospect. You'll iterate constantly - test ad performance against email, compare event invites to content plays, measure what actually drives pipeline. The system learns and improves over time. What Makes This Hard (And Why We Need You) This isn't a "plug in Clay and call it done" role. You're building something we've never done before. Early on, you might find that the data doesn't tell you what you thought, or that a channel you expected to work doesn't. You'll need to get comfortable with ambiguity, run experiments fast, and iterate based on real results. The first 30 days might be messy - you'll be discovering what the real problem is. The next 60 days, you'll build real infrastructure. By month 3 or 4, you should see a pattern emerging about what works. By month 6, you'll have a system that makes decisions we couldn't make manually. The Technical Challenge We need someone who thinks in systems, not tasks: Data Pipeline Architecture: Design flows from discovery → enrichment → propensity scoring → channel/message decision → action API Orchestra: Integrate Clay, CRMs, email platforms, ad networks, and our internal tools into one cohesive system Intelligent Routing: Build the decision engine - not just "send this outreach" but "determine if this prospect should get an ad, email, event invite, or content play" Experimentation Framework: Set up A/B testing and measurement so you can prove what works and iterate toward better decisions Revenue Analytics: Connect activity to outcomes - show exactly which engagement strategies drive pipeline