Use AI tools without fear of data leakage. Backed by Y Combinator and a16z speedrun.
About the role
Ship real features. You'll own features from design through deployment. Your code runs in production and gets used by engineering teams at real companies. Work across the stack. Our product spans agent discovery, an LLM gateway, and a runtime policy engine. You'll touch Python, Next.js, Kubernetes, and cloud infra. If you haven't used something on this list, you'll learn it here.
What they're looking for
- You can ship. You've built and deployed something: a side project, a class project, a startup, open source. The bar isn't perfection, it's follow-through
- You're comfortable with ambiguity. We'll give you a problem, not a spec. You figure out the approach, ask good questions, and iterate
- You code with AI tools and stay in control. We expect you to use Copilot, Claude, whatever works. But you understand what the code does and can debug it when it breaks
- You're curious about security, devtools, or infrastructure. Deep experience not required, but genuine interest matters. If you've thought about what happens when an AI agent has root access to a codebase, we should talk
- You want to understand how the whole system works, not just your piece of it
More about this role
AI coding agents (Claude Code, Cursor, Copilot) can write code, run shell commands, and modify infrastructure across an entire engineering org. Most companies have zero visibility into what these agents are doing and no way to stop a bad tool call before it executes.
We're building the governance and security layer for AI coding agents: agent and tool discovery across dev fleets, usage and token analytics through an LLM gateway, and runtime policy enforcement that intercepts risky actions before they happen.
We're Vignesh and Raj . We come from deep engineering, product, and security backgrounds. We started Unbound because we kept seeing orgs hand AI agents broad access to codebases, infrastructure, and APIs with zero guardrails. That felt like a problem worth solving. We're YC-backed and building out of the Bay Area.
Ship real features. You'll own features from design through deployment. Your code runs in production and gets used by engineering teams at real companies.
Work across the stack. Our product spans agent discovery, an LLM gateway, and a runtime policy engine. You'll touch Python, Next.js, Kubernetes, and cloud infra. If you haven't used something on this list, you'll...
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