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Vapi

Platform for building voice AI agents

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of enterprise software-as-a-service or infrastructure sales experience, with a track record of exceeding quota.
  • Experience at a high-growth company between Series B and Series F.
  • Experience closing multimillion-dollar deals with Fortune 500 companies and navigating long sales cycles with technical, legal, and executive stakeholders.
  • Technical ability to engage deeply with engineering teams on application programming interfaces, integrations, and deployment.
  • Based in or willing to relocate to New York City, and willing to be onsite with customers.

Responsibilities

  • Learn the Vapi technology stack, how customers build and deploy production voice agents, and the company's competitive strengths; ramp on the active pipeline and meet key accounts.
  • Lead enterprise discovery, design pilots with customer product and engineering leaders, and shape solution architecture with the engineering team.
  • Own multistakeholder deals end-to-end, from technical validation and security review through procurement and commercial close.
  • Feed customer insights directly into the product roadmap.
  • Build a repeatable enterprise sales motion and maintain a disciplined forecast.
  • Help shape hiring and scaling of the East Coast team.

Desired Qualifications

  • Experience building a startup.

About the Company

Vapi

Platform for building voice AI agents

Vapi provides an infrastructure platform for building enterprise-grade voice AI agents. It offers flexible APIs and an SDK that enable developers to create, test, and deploy voice agents capable of handling inbound and outbound calls. The platform stitches together speech-to-text, large language models, and text-to-speech from integrated or third-party providers, with sub-500ms response times, and users can bring their own API keys or use Vapi’s models. Vapi differentiates itself with a developer-centric approach, provider-agnostic orchestration, and scalable, low-latency voice operations aimed at use cases like customer support and appointment scheduling, across industries from healthcare to finance. The goal is to simplify building and scaling AI-powered voice agents for businesses.

Company size
51-200
Company stage
Series B
Total funding
$70.1M
Headquarters
San Francisco, CA
Founded
2021

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