Test, monitor, and improve your voice and chat AI agents. Backed by Peak XV and Y Combinator.
About the role
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. 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.
What they're looking for
- 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
- Built GTM, RevOps, or growth-engineering systems before
More about this 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.
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.
- 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
- Build and maintain clean, enriched lead lists and account data
- Architect the CRM and...
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