GTM Engineer

About Bluejay

Test, monitor, and improve your voice and chat AI agents

The role

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 DoingYou'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 teamThis 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 AreWe'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 structureThis 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 efficiencyIf you want to engineer the growth systems behind the infrastructure powering AI agents at the largest companies in the world…Let's talk.