About the role
About the company
Aviator builds the AI developer workflow automation that lets large engineering teams ship AI-generated code safely and fast. It run inside the CI/CD pipelines of teams at Meta, Slack, Square, Figma, DoorDash, and Notion.
Our thesis: AI made code easier to write, not easier to ship. As AI floods engineering orgs with more PRs than humans can review, the bottleneck moves downstream — to review, verification, and merge. That's the layer we own, with a "proof, not judgment" approach to deterministic, pre-merge verification.
We're a small, senior team (YC S21) selling to some of the most technical buyers on earth. Which is exactly why this role exists.
About the role
Our buyers are staff engineers, platform leads, and DevEx teams. They ignore generic cold email, they can smell a template from a mile away, and they respect people who actually understand their problems. Winning them takes GTM that's as technical as the product.
That's the job. You'll write code to drive revenue — building the enrichment, research, and outbound systems that put the right message in front of the right engineering leader at the right moment. You're not an SDR with a sequencer; you're an engineer who happens to build pipeline using AI.
This is a build role with real ownership from day one. If it works, it converts to full-time.
What you’ll do
- Build enrichment pipelines in Clay (or code) that identify companies with the signals that matter to us — large monorepos, high PR throughput, heavy CI spend, GitHub-native workflows, recent DevEx or platform hires.
- Design signal-based outbound that references a prospect's actual engineering context, not a merged-tag {{first_name}}. Personalization at scale, driven by real research.
- Ship AI agents and automations (using the Claude API and tools like n8n/Zapier) that scrape technical blogs, changelogs, conference talks, and hiring pages to build account intelligence ahead of every conversation.
