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.