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If you want to build AI systems directly alongside Global 1000 teams and see your work go live in production, this is one of the highest-leverage engineering roles in the AI stack today.

Our Client is building one of the fastest-growing open-source AI developer platforms, with 28k+ GitHub stars, millions of weekly installs, tens of millions of AI interactions, and double-digit month-over-month growth. The product is already monetizing at the enterprise level and is in production across a meaningful portion of the Fortune 500.

Backed by strong funding and operating with a small, senior team, they are defining the agent-user interaction layer that brings AI out of demos and into real applications.

They are hiring a Revenue Operations Lead who will serve as the bridge between massive open-source adoption and enterprise growth. In this role you will build the engine that converts usage signals into revenue. You will own the end-to-end pipeline: architecting data infrastructure, deploying AI agents for signal detection, and automating high-conversion outreach.

What You’ll Do:

Build and maintain unified databases that aggregate data from disparate sources, including HubSpot, Scarf, Clay, RB2B, GitHub, and custom web forms.
Develop sophisticated queries and AI agents to identify Open Source Qualified Leads (OQLs)—pinpointing companies building production-ready applications.
Design and execute automated email campaigns and "enrichment waterfalls" that transform anonymous data into qualified sales meetings.
Own the data quality and reliability of the entire revenue engine, ensuring the sales team has a consistent flow of high-intent leads.

What They’re Looking For:

High proficiency in SQL and database architecture; expert at syncing data via APIs and webhooks into clean, usable formats.
Deep, hands-on experience with Clay (critical) and HubSpot. Familiarity with enrichment tools (RB2B) and OSS analytics (Scarf) is a major plus.
Comfortable with JSON, data schemas, and basic scripting (Python/JS) to build and troubleshoot integrations independently.
Understands the "bottom-up" developer motion and how to convert open-source signals into enterprise revenue.
This is an on-site role in Seattle; candidates must be local or willing to relocate.

Nice to Have:

Experience leveraging AI for data analysis and workflow automation.
A background in RevOps, Sales Ops, or Growth Ops within a fast-scaling B2B SaaS (Series A–C) or DevTools environment.

Why This Role Stands Out

This is a unique opportunity to sit at the center of the AI-native developer ecosystem. You will have the autonomy to build a modern revenue stack from the ground up and play a direct role in the commercial success of a leading open-source project.

Learn more about this Employer on their Career Site