Revenue Operations Lead
CopilotKitAnywhere, AnyplacePosted 20 March 2026
Job Description
About Us
CopilotKit is the #1 open-source platform for building AI Copilots — intelligent agents designed to work with users inside of real applications. In our first two years, we’ve delivered the fastest growing Javascript AI framework of all time, and built a vibrant community (40k+ GitHub stars, millions of weekly installs, 10s of millions of copilot interactions, double-digit MoM growth), are already monetizing at the enterprise level, and are used by companies ranging from startups to Fortune 100s (including production usage by over 10% of Fortune 500s).
We’re emerging as the default for a critical part of the AI stack: the agent/user interaction layer. CopilotKit brings agents out of demos and terminals and into production, through deep integrations with the leading AI infrastructure companies and hyper-scalers (including the leading AI/infra teams at Google, Microsoft, Amazon, Oracle, LangChain, Mastra, Pydantic, Agno, and others).
Our small, fast-moving team is building the agentic application platform that will define how user-interactive AI actually manifests in the real world. This is a unique opportunity to join as an early leader on one of the most complex and high-leverage surfaces in AI — with significant scope for technical, product, and leadership growth.
The Role
You'll be the critical bridge between CopilotKit's 100k+ developers and enterprise revenue — building the data infrastructure and automation systems that convert open-source usage signals into qualified sales meetings. Your primary mission: identify patterns in usage data that indicate enterprise potential and transform anonymous adoption into actionable pipeline.
This role combines data engineering with marketing automation. You'll build databases aggregating data from HubSpot, Scarf, Clay, RB2B, GitHub, and web forms, create queries and AI agents to spot enterprise signals, and execute campaigns that drive meetings. You'll own the revenue engine end-to-end — from signal detection to qualified leads in the sales pipeline.
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