Developer Experience Engineer

Raindrop; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Raindrop is a monitoring platform for AI agents. You will join the early team to shape product decisions, scale the engineering effort, and build tools that help developers integrate Raindrop, debug integrations, and access comprehensive documentation and tutorials.

The role emphasizes strong programming, problem solving, and a passion for developer communities, with an on-site requirement in San Francisco.

Qualifications

• Experience in programming, debugging and solving complex problems.
• Strong writing skills for developer-focused documentation and tutorials.
• Passion for building developer communities and helping customers succeed.

Responsibilities

• Ensure customers have a world-class developer experience when integrating and using Raindrop.
• Maintain, improve and expand SDKs.
• Help customers debug integration issues.
• Write clear documentation, tutorials, and guides.
• Iterate quickly without sacrificing quality.
• Deeply understand customer needs and use cases.

Skills

Strong programming

Problem solving

Debugging skills

Technical writing

Dev communities

Dev relations

AI product interest

Growth mindset

Product design awareness

Willingness to do whatever it takes

Tools

SDK development

Documentation tooling

Job description

About Raindrop

Raindrop is the monitoring platform for AI agents. Engineering teams at Fortune 100s and the fastest-growing AI companies (Vercel, Speak, Clay) use it to catch silent failures in production. When an agent misbehaves, Raindrop alerts the team, links to the trace, and surfaces the root cause so they can fix it fast. With Raindrop 2.0 (Self-Healing Agents), the loop closes itself: your coding agent fixes it, and the fix becomes an eval to prevent regressions.

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 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 and discovering unknown unknowns.

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.

In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used.

As part of the early team, you’ll play a fundamental role in shaping the company - from making strategy and product decisions, to helping scale the team, to shaping the future of AI agents.

Our Investors

We’re backed by incredible investors including Lightspeed and leading AI companies including Figma Ventures, Vercel Ventures, founders of Replit (Amjad Masad and Michele Castata), Cognition (Walden Yan), Framer (Koen Bok and Jorn van Dijk), Speak (Andrew Hsu), Notion (Akshay Kothari) and more.

Your Focus

• Ensure customers have a world-class developer experience integrating and using Raindrop
• Maintain, improve and add SDKs
• Help customers debug integration
• Write clear documentation, tutorials, and guides
• Quick iteration without compromising on quality
• Deeply understand the customer

Ideal Candiate

• 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
• Must be in person in San Francisco (or willing to move)