GTM Engineer

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.

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Interview Process

Round 1 — Intro Call (15 minutes) You'll talk directly with the CEO. Tell us why you think you'll succeed at Bluejay, ask us why you should join, and get a feel for the role, the company, and how we work.

Round 2 — Take-Home Exercise (a few hours, on your own time) We'll give you a real Bluejay GTM problem and ask you to build a solution. You might design (or actually build) an automated outbound system for a target segment, a lead enrichment and scoring workflow, an AI-powered personalization pipeline, or a way to instrument the funnel. Show us the architecture and, where you can, working pieces. Keep it to a few focused hours—we care less about polish and more about how you build, automate, and think about leverage. It's paid, and we'll send a clear, bounded prompt so you're not guessing at scope.

Round 3 — Take-Home Review + Live Jam (30 minutes) We'll walk through what you built—why you chose those tools, where it breaks, how you'd scale it—then jam live on a different systems problem: maybe untangle a real funnel bottleneck or design a workflow on the spot. We want to see how you think out loud and reason through tradeoffs in real time.

Round 4 — Team Meetup (30 minutes) Meet the team and see whether Bluejay feels like the right place for you—and whether you feel like the right addition to the team. We might dig into a system you've built before, debate the right GTM stack, talk through how you'd give our reps leverage, or just get a feel for how you'd work alongside everyone. The goal is a meaningful conversation and a real sense of what it would be like to work together.

Final Step — References and Offer If there's a strong mutual fit, we'll speak with a few references and move quickly to an offer.