Voice AI that resolves, not transfers.
Most phone systems trap callers in menus and scripts. Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes.
The numbers: 1 billion calls. 1 million developers. 10x enterprise ARR growth
The customers: Amazon Ring, ServiceTitan, New York Life, Intuit, Kavak, and thousands more, from YC startups to the Fortune 500
The news: a $50M Series B led by Peak XV Partners, with Bessemer Venture Partners, Kleiner Perkins, M12 (Microsoft's Venture Fund), Y Combinator, and our earlier backers. Total raised: $72M
Voice AI is exploding, and our GTM motion needs to match. We need someone who can build the systems that find, enrich, and convert the right developers and businesses before our competitors even know they exist.
Our data stack is powerful but underleveraged. You'll unlock it.
30 Day: Audit our GTM stack (Clay, Hubspot, Salesforce, Hockeystack, & Tofu): map data flows, identify enrichment gaps, and ship your first quick wins on lead quality.
60 Day: Own enrichment workflows end to end; build multi-provider waterfalls; get signal-based outreach running at scale. Implement a consistent UTM naming convention across all channels, clean up historical tracking gaps, and stand up a multi-touch attribution view the team can trust.
90 Day: Stand up intent-driven Tofu campaigns; write scripts to extend what off-the-shelf tools can't do; become the connective tissue between Marketing, Sales, and Data.
5+ years of experience in marketing operations, revenue operations, or a related function at a high-growth company with an agent-forward aptitude
Fluency in UTM structures, attribution models, and campaign tracking best practices
Excellent analytical skills: you're comfortable in spreadsheets, can write basic SQL, and know how to find signal in noisy data
Have built or prototyped AI-powered workflows using LLM APIs, Claude Code, etc
Deep in Hubspot: you use it for more than list pulls; you know the API and how to extract data programmatically
Comfortable in Salesforce: you can maintain database hygiene, and wire up CRM integrations
Obsessed with data quality: enrichment rates, match rates, and hygiene aren't metrics you track, they're things you lose sleep over
Fast and autonomous: Vapi moves quickly, and you'll prioritize ruthlessly
Generational impact: Build the human interface for every business
Ownership culture: 70% of the company are previous founders
Kind team: The founders, Jordan and Nikhil, are Canadians
Tier-1 Investors: YC, KP seed, Bessemer Series A & a $50M Series B led by Peak XV Partners
Real stake: We offer a competitive salary and excellent equity ownership
Comprehensive health coverage: medical, dental, and vision plans
Team love: We love hanging out, and we do quarterly off-sites
Flexible time off: take what you need
More: catered meals, transportation, gym, and a $10k annual L&D budget
Skills Required
- 5+ years of experience in Product/GTM Engineering at a high-growth or Start-up AI company
- Able to write production-quality code in Next.js, Python, TypeScript, or JavaScript
- Experience with AI-powered workflows using LLM APIs, Claude Code, etc
- Deep understanding of Hubspot API and data extraction
- Comfortable maintaining database hygiene in Salesforce
What We Do
Vapi lets enterprises deploy human-like voice agents in minutes. Whether you’re building a voice product or trying to handle millions of calls, Vapi’s reliable infrastructure and flexible APIs make it easy. Everyone from YC startups to Fortune 500 companies rely on Vapi because it is: Flexible: Plug in your APIs, your customer data, your models Scalable: Handle millions of calls with <500ms latency Secure: LLM guardrails, HIPAA, SOC-2 Helping enterprises over this challenge, Vapi, has raised $20 million in Series A funding, led by Bessemer Venture Partners with participation from Abstract Ventures, AI Grant, Y Combinator, Saga Ventures, and Michael Ovitz.
