# DEFINE THE FUTURE OF Intelligence Monitoring

Raindrop is building the observability standard for AI agents.

We are a small, high-velocity team in San Francisco. Our platform is used by some of the fastest growing AI companies in the world.

## Who We Need

### ML Engineer
Build ML models to understand agent behavior.

**Location**: San Francisco  
**Team Size**: < 10  
**Open Roles**: 7  
**Backed By**:

**Responsibilities**
- Design and implement ML models for detecting anomalies in AI agent behavior
- Architect, implement, and scale ML pipelines
- Deeply understand the customer

**Requirements**
- Strong foundation in ML/AI fundamentals (transformers, embeddings)
- Experience building production ML systems
- Willing to do whatever it takes to solve a problem

**Tech Stack**
- PyTorch
- Transformers
- Vector DBs
- Python
- CUDA

### Product Engineer
Build the product that engineers use to understand their AI agents.

**Location**: San Francisco

**Responsibilities**
- Build out a world-class product - servicing millions of requests a day + growing
- Architect, implement, and scale the application
- Deeply understand the customer

**Requirements**
- Obsessive attention to UI/UX detail.
- Experience building complex, data-heavy applications
- Knows how to balance short-term and long-term speed

**Tech Stack**
- React
- TypeScript
- Next.js
- Tailwind
- Canvas/WebGL

### Backend / Infra Engineer
Scale our ingestion to millions of events per second.

**Location**: San Francisco

**Responsibilities**
- Build out world-class infrastructure - servicing millions of requests a day + growing
- Architect, implement, and scale the application
- Deeply understand the customer

**Requirements**
- Proven experience scaling applications
- Experience with high-throughput data ingestion.
- Willing to do whatever it takes to solve a problem.

**Tech Stack**
- TypeScript
- Python
- ClickHouse
- AWS

### Developer Experience
Make Raindrop the easiest tool to integrate.

**Location**: San Francisco

**Responsibilities**
- Maintain, improve, and add SDKs
- Help customers debug integration
- Write clear documentation, tutorials, and guides

**Requirements**
- Strong programming, problem solving, and debugging skills
- Passion for working with developers and building developer communities
- Excellent technical writing skills

**Tech Stack**
- Python
- TypeScript
- Documentation
- Community

### Security Engineer
Secure our platform and protect customer data.

**Location**: San Francisco

**Responsibilities**
- Secure the platform end-to-end from application code to cloud infrastructure
- Design and implement security controls that scale with millions of requests per day
- Conduct threat modeling, security audits, and incident response

**Requirements**
- Experience in application and infrastructure security
- Familiarity with cloud security and compliance frameworks
- Willing to do whatever it takes to solve a problem

**Tech Stack**
- AWS
- Terraform
- Python
- TypeScript
- SOC 2

### Founding Recruiter
Build Raindrop's talent function from the ground up.

**Location**: San Francisco

**Responsibilities**
- Own the end-to-end recruiting function: sourcing, outreach, interviewing, coordination, closing
- Build a world-class top-of-funnel engine through relentless outbound sourcing, referrals, content, and other creative recruiting tactics
- Help make the company a magnet for top talent by building a reputation for talent density

**Requirements**
- Has recruited strong engineering teams, ideally at high-growth startups or AI / dev tool companies
- Proven ability to source, engage, and close standout engineering candidates in competitive markets
- Must be in person in San Francisco (or willing to move)

**Tech Stack**
- Sourcing
- Recruiting Ops
- AI Tools
- Analytics

### Signal Not Found?
World-class at what you do? We want to hear from you.

**Location**: San Francisco

**Responsibilities**
- We're always looking for talented people who can help us build the future of AI agents
- Tell us what you're great at and how you'd contribute

**Requirements**
- World-class at something relevant
- Ships
- Passionate about monitoring AI agents

## How We Work

### Ship to Learn
We don't debate in a vacuum. We try, ship, and iterate. Speed is our advantage.

### Form and Function
Tools should feel powerful. We care deeply about the shape of our product.

### Do it Well
Any idea can be invalidated by doing it poorly. When we care about something, we do it well.