Build, test, and deploy advanced voice AI agents in minutes with Vapi. The platform for developers creating conversational voice AI. Backed by Bessemer, Peak XV and Y Combinator.
About the role
60 Day: Ship internal tooling or product contributions that make the next similar deployment materially faster 90 Day: Establish a process or infrastructure the team didn't know it needed
What they're looking for
- You've worked in a technical role at an early-stage startup — you know what it means to build without a playbook
- You've been an FDE, Solutions Architect, or Solutions Engineer at a company we admire
- You've driven process change proactively — not because someone asked, but because you couldn't leave a broken system alone
- You're comfortable operating in ambiguity and find structure by doing, not by waiting
- You have a genuine bias toward action: you identify a gap, you fix it, you document it
- Bonus: You've built your own startup or pursued your own projects, and iterated on them
More about this role
Voice AI that resolves, not transfers
Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life
Trusted by 1 million developers building the future of voice agents
Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised
Try talking to Vapi now!
Our Enterprise ARR has grown 10x — customers like Amazon Ring, NY Life and Intuit deploy in weeks and expand rapidly when we support them well. Customer deployments now consume most of our current FDE capacity, which means platform roadmap work competes directly with delivery. We're opening more seats this quarter in San Francisco and New York to take on that unowned roadmap work. Steady-state accounts are handing off to our Agent Engineering team so FDEs can return to building the platform, not just running it.
Unlike a solutions engineer, an FDE ships code: into customer repos, into Vapi's GitOps configs, and into the Vapi platform itself.
This isn't CRUD engineering. You're building real-time, latency-sensitive systems that orchestrate multiple providers — speech-to-text, LLMs, text-to-speech, telephony — simultaneously, in production, at enterprise scale. It's the...
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