Endpoint security inside the agent harness. CodeIntegrity sits inside the agent and stops the wrong action before it runs, on the device, with no cloud in the loop. Backed by Antler.
About the role
You'll design the product security and engineering teams use to understand and control AI agents. Own the experience from the first sketch to the shipped interface, making complex activity, permissions, and security decisions easy to navigate and act on.
What they're looking for
- Start with the user's problem. Talk with customers, understand how they investigate activity and manage policies, and turn what you learn into clear design priorities
- Own complete workflows. Design onboarding, agent inventory, activity investigations, and policy configuration. Help users understand what an agent did, why an action was flagged or blocked, and what they can do next
- Build reusable patterns. Maintain components and interaction guidelines that keep the product consistent and accessible. Design for keyboard use, different screen sizes, and loading, empty, and error states
- Stay involved through release. Work with engineers on technical constraints and implementation details, review the working product, and follow up on usability issues after launch
- You've designed and shipped web applications, with a portfolio that explains the problem, your contribution, design decisions, and what you learned from the result
- You have strong visual and interaction design skills, including typography, layout, information hierarchy, and navigation
More about this role
AI agents are changing how enterprises operate. Companies want to move fast with MCPs and agents, but they need a way to do it safely.
CodeIntegrity is the platform security teams use to control MCPs and agents, built for companies deploying AI across the enterprise. We raised $5 million from SYN Ventures, Antler, and Boost, and we are a small team, mostly engineers, shipping fast. We are building the infrastructure that will make enterprise AI safe to use.
What You Will Do
You'll design the product security and engineering teams use to understand and control AI agents. Own the experience from the first sketch to the shipped interface, making complex activity, permissions, and security decisions easy to navigate and act on.
- Start with the user's problem. Talk with customers, understand how they investigate activity and manage policies, and turn what you learn into clear design priorities.
- Own complete workflows. Design onboarding, agent inventory, activity investigations, and policy configuration. Help users understand what an agent did, why an action was flagged or blocked, and what they can do next.
- Make detailed interfaces feel simple. Bring clear information hierarchy,...
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