Security Engineer

Uncover

San Francisco, Northern (CA, KY)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Raindrop is seeking a security-focused engineer to strengthen the platform end-to-end, from code to cloud infrastructure, in San Francisco.

You will design scalable security controls, perform threat modeling, and lead incident response, collaborating with product and engineering teams to protect millions of requests daily. Ideal candidates have startup security experience and a passion for AI tools.

Qualifications

  • Experience in security engineering at a fast-growing startup.
  • Familiar with compliance (SOC 2, HIPAA etc.).
  • Has contributed to the security community (exploits, open-source).
  • Interest in AI products and tools (building or avid user).
  • Growth mindset and willingness to do whatever it takes.
  • Strong communicator who explains ideas clearly.

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.
  • Communicate directly with our customers’ security teams.

Skills

Security engineering
Compliance familiarity
Open-source contributions
AI product interest
Growth mindset
Effective communication
Problem solving

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.

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
  • 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
  • Communicate directly with our customer’s security teams
Ideal Candidate
  • Has experience with security engineering at a fast-growing startup
  • Familiar with compliance (SOC 2, HIPAA etc.)
  • Has contributed to the security community (eg. exploits, open-source)
  • Interest in AI products + tools (ideally experience building these or an avid user)
  • Growth mindset
  • Willing to do whatever it takes to solve a problem
  • Strong communicator who can explain ideas clearly
  • Must be in person in San Francisco (or willing to move)
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