Developer Experience Engineer

Overview

Raindrop is building Sentry for AI Agents. Engineering teams at companies use Raindrop to get alerts about silent failures with their AI agents. Raindrop sends alerts when AI agents misbehave and links straight to the events, so AI engineers can dig into the conversations or traces, understand the root cause, and fix it, fast.

Why It Matters

AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing. The current status quo is sifting through millions of logs and trying to debug flaky evals that just aren't matching real-world results. Evals are like unit tests; they confirm your model got specific test cases right. But in the real world, agents call thousands of tools, run for hours, and encounter millions of unpredictable actions. That's where Raindrop comes in. It learns the unique shape of each AI agent's issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent. With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties and more.

Our Investors

• Lightspeed
• Figma Ventures
• Vercel Ventures
• Replit (Amjad Masad and Michele Castata)
• Cognition (Walden Yan)
• Framer (Koen Bok and Joen van Dijk)
• Speak (Andrew Hsu)
• Notion (Akshay Kothari)

Your Focus

• Maintain, improve and add SDKs
• Help customers debug integrations
• Write clear documentation, tutorials, and guides
• Quick iteration without compromising on quality
• Deeply understand the customer

Ideal Candidate

• Knows how to balance short-term and long-term speed
• Strong programming, problem-solving, and debugging skills
• Passion for working with developers and building developer communities
• Excellent technical writing skills
• Interest in AI products + tools (ideally experience building these or an avid user)
• Growth mindset
• Cares about building well-designed products
• Willing to do whatever it takes to solve a problem

Compensation Range

$150K - $250K