Vapi
Voice AI
GTMEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“GTM Engineer at Vapi. Skills: GTM Engineering, AI, Data Pipelines, Automation. Audit GTM stack. Map data flows”
What You'll Achieve.
Find, enrich, and convert developers and businesses; Unlock data stack
Industry & Context.
Systems thinker; Clean data models; Reliable pipelines; Automation that doesn't break
What They're Looking For.
Must Have
5+ years of experience in Product/GTM Engineering at a high-growth or Start-up AI company with an agent-forward (aptitude), Demonstrated ability to write production-quality code in Next. js, Python, TypeScript, or JavaScript to build integrations, automation workflows, and data pipelines, Have built or prototyped AI-powered workflows using LLM APIs, Claude Code, etc, Deep in Hubspot — you use it for more than list you know the API and how to extract data programmatically, Comfortable in Salesforce— you can maintain database hygiene, and wire up CRM integrations, A systems thinker first — you care about clean data models, reliable pipelines, and automation that doesn't break at 2 am, 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
What You'll Do.
Identify enrichment gaps
Own enrichment workflows
Build multi-provider outreach
Stand up intent-driven scripts
Extend off-the-shelf tools
Become connective tissue
How You'll Work.
Team & Collaboration
Connective tissue between Marketing, Sales, and Data
Full Job Description
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 WHY WE’RE HIRING THIS ROLE: - 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 WHAT YOU’LL DO: - 30 Day: Audit our GTM stack (Clay, Hubspot, Salesforce, & 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 - 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 WHO YOU ARE: - 5+ years of experience in Product/GTM Engineering at a high-growth or Start-up AI company with an agent-forward (aptitude) - Demonstrated ability to write production-quality code in Next.js, Python, TypeScript, or JavaScript to build integrations, automation workflows, and data pipelines - 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 - A systems think
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