Bluejay is building the simulation, evaluation, and observability layer for voice + text AI agents. We work with Fortune 500s, multinational corporations, and high-growth startups to ensure their AI agents actually perform as intended in production. We raised a $4M seed backed by Floodgate, Peak XV, and YC. Now we're looking for a cracked GTM engineer to treat go-to-market like an engineering problem. We don't want someone to "run a sequence tool." We want someone who builds the automated systems—lead gen, enrichment, scoring, AI-native workflows—that make every rep on the team a force multiplier. What You'll Actually Be Doing You'll build and own the machinery behind pipeline: the data, the automations, the AI-native workflows, and the tooling that makes outbound and revenue scale. Build the GTM Engine • Design and build scalable lead-gen systems using enrichment, automation, and AI • Build LLM-powered workflows: personalized outbound, signal detection, lead scoring, research • Wire together the stack (Clay, n8n/Zapier, CRM, APIs, scripts) into systems that actually run • Treat outbound like a product: instrument it, measure it, refine it Own the Data & Tooling • Build and maintain clean, enriched lead lists and account data • Architect the CRM and keep the pipeline honest and queryable • Build dashboards and reporting so the team sees what's working and why • Automate the manual work that's slowing reps down Force-Multiply the Team • Give the SDR, AE, and Founding GTM leverage—more pipeline, better targeting, less busywork • Spot bottlenecks in the funnel and engineer them away • Constantly experiment with new tools, tactics, and growth mechanics You Will Be • Building • Automating • Instrumenting • Iterating • In the trenches with founders and the GTM team This is a founding-level ownership role, not a "manage the tools" seat. You're building the systems the whole revenue org runs on. Who You Are We're looking for a hustler who builds—part operator, part engineer. Titles matter less than what you've shipped. Must-Haves • Technical and hands-on. You're comfortable with APIs, scripts, SQL, and modern GTM tooling (Clay, n8n, Zapier, or similar). You can build, not just configure. • AI-native to the core. You build LLM-powered workflows instinctively and reach for automation before manual work. • You can hold a credible conversation about our world—AI agents, evals, observability—well enough to build systems that target the right buyers. • Outcome bias. You measure pipeline created and rep efficiency gained, not dashboards built. • Comfort with ambiguity—you're building the systems from zero, not maintaining someone else's. Core Traits • Builder instincts—you see a manual process and itch to automate it • Scrappy and resourceful • Gets excited building systems from zero • Thinks in experiments, not opinions • Comfortable being wrong quickly Desirable Quirks • Physically cringes at manual data entry • Has strong opinions about enrichment and data quality • Gets irrationally excited about a clean, automated workflow • Reads the changelogs of tools they don't even use yet • Thinks GTM is part code, part growth, part math Experiences That Pique Our Interest • Built GTM, RevOps, or growth-engineering systems before • Background in engineering, data, or technical ops who moved toward GTM • Built outbound or enrichment automations from scratch • Worked at an early-stage startup, or founded something technical • Career-pivot candidates welcome if you can show you've built real systems What This Is Not • Not a "just configure the CRM" role • Not a single-tool admin job • Not a late-stage, highly specialized position • Not for someone who needs rigid structure This is for someone who wants to engineer how Bluejay grows. Logistics • Full-time, in-office • You'll work extremely closely with the founders and the GTM team • Hiring in the next ~2 months, but we'll move fast for someone exceptional Compensation • Base: ~$100K–$160K, calibrated to experience • Meaningful early-stage equity • Performance upside tied to pipeline and efficiency If you want to engineer the growth systems behind the infrastructure powering AI agents at the largest companies in the world… Let's talk.