Revenue Operations Lead

The Role
You'll be the critical bridge between Copilot Kit'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 Hub Spot, Scarf, Clay, RB2B, Git Hub, 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.

• Build and maintain data infrastructure connecting multiple sources (Hub Spot, Scarf, Clay, RB2B, Git Hub, web forms) into unified databases.
• Create queries and AI agents to identify Open Source Qualified Leads (OQLs) — companies building production applications with Copilot Kit.
• Develop repeatable systems to transform anonymous usage data into enterprise leads.
• Design and execute email campaigns and automated workflows that drive sales meetings.
• Own data quality, enrichment waterfalls, and pipeline reliability.

• Data & database expertise
  :
  Strong SQL and database architecture skills; experience connecting multiple data sources via APIs and webhooks into clean, usable formats.
• Marketing automation proficiency
  :
  Deep Clay experience (critical), Hub Spot workflow automation, data enrichment tools (RB2B, etc.), and Scarf or similar open-source analytics platforms.
• Technical fluency
  :
  Comfortable with APIs, webhook integrations, JSON, and data schemas; can write basic scripts (Python/JavaScript helpful); troubleshoots independently.
• Open-source to enterprise experience
  :
  Understands bottom‑up adoption, product‑led growth, and how OSS projects convert to commercial revenue.
• High ownership
  :
  Thrives in ambiguity with minimal direction; deep sense of ownership over pipeline; builder mentality who ships working solutions fast.
• Systems thinker
  :
  Hypothesis‑driven, detail‑oriented about data quality, sees how pieces connect and builds for scalability.
• Based in Seattle (office‑based, not remote).

• Experience using AI for data analysis, pattern recognition, and workflow automation.
• Background at fast‑growing B2B SaaS startups (Series A‑C) or developer tools companies.
• Previous roles in Marketing Ops, Sales Ops, Rev Ops, or Growth Ops with data focus.

• Competitive salary and equity with early‑stage ownership.
• 100% health coverage for employees; 50% for dependents; dental and vision insurance; competitive paid time off.
• Remote‑first, high‑agency culture with flexible work and full trust and ownership.