About us

foam is building a new observability stack that captures, traces, and links everything, purpose-built for AI. We use this foundation to feed complete context into AI to automatically identify and root-cause breakages across entire systems.

We are testing the limits of AI and hope to unlock a new ceiling. To do that, we're building the stack that lets us push and probe AI's capabilities for accurate root-cause analysis like no other stack can.
We are building a system that replaces the entire observability and alerting stack as we know it. foam will proactively diagnose production breakages so well that humans forget what it's like to manage production.
We take our users seriously. No user has ever had to prompt foam and we aim to deliver correct root-cause analysis without any human involvement ever.

We've raised $9.9M in seed funding from Khosla Ventures, Max Levchin, The House Fund, and South Park Commons among other angels.

We're SF-based in the office 5 days a week. We are walking distance from the Salesforce Tower.

Our tech stack is: TypeScript, Node, Express, AWS & NextJS

To Apply:
Send us an email to founders@foam.ai titled “Idea I'd Like to Build at foam” with something you've been dying to build and try out in production, along with your resume.

Open Positions

Founding Engineer

Role Description:

Build the core intelligence behind our root cause analysis engine and observability stack, tackling work far beyond typical full‑stack or infra.

Some of the things you'll find yourself doing:

Setting up telemetry pipelines, improving tooling and SDKs, and building systems that reconstruct timelines across logs, traces, and deploys.
Building automatic instrumentation that tracks code behavior, preserves async context, and improves visibility into backend operations.
Creating code‑origin mapping that links logs and events back to exact source code.
Designing secure sandboxes that allow our agents to run checks, inspect systems, and validate ideas safely.
Building multi‑agent reasoning systems that use real telemetry to produce correct RCAs.

Minimum Qualifications:

5+ years of software engineering experience.
1+ years of experience using AI to solve complex, unstructured problems (bonus if applied to developer tooling).
Incredibly strong communication skills, the kind that allow you to translate very complex ideas into simple, clear language for the rest of the team.
Bachelor’s degree in Computer Science, Engineering, AI, or a related field.

Compensation Range:

Salary: $180K to $300K

Equity: 0.25% to 2%

Benefits:

100% Medical, Dental, Vision Coverage
401K