Member of Technical Staff
Wakefield
Member of Technical Staff
Wakefield
Finds and fixes security flaws in applications
We find and fix every vulnerability in our customers' applications. When a new AI model is released, we run it against their applications before attackers do, and close what it finds.
Wakefield is an applied research lab working on AI-native security services. We build security agents and publish how they work. Our methods, benchmark and raw data are public so anyone can check them.
Source code optional: blackbox agents sign in as every role and test the running app. Whitebox agents read the code on every pull request.
If Wakefield can't prove it, the customer never sees it: agents replay each finding in a real browser and record it. Then Wakefield writes the fix, ready to open as a pull request, and retests it. We have SLAs for zero false positives.
One service that replaces DAST, SAST, SCA, SBOM, and the tests companies run in-house or buy in.
Wakefield's agents run in sandboxes for hours at a time, sign in to customer applications as many users at once, drive real browsers, and record everything they do. All of their traffic goes through one controlled path. You'll own the layer they run on: sandboxes and browsers, the egress proxy, the system that schedules and runs scans, and the deployment that keeps each customer's data apart.
Sandboxes that start fast, hold state through long scans, and can be replayed.
Browser infrastructure for agents that sign in as many roles at once and record every step.
The egress proxy every agent request goes through: scope checks, rate limits for each organization, and a full record.
Running scans on demand, on every pull request, and against every new model release.
Tenant isolation, and one deployment model for our cloud and for customers who need their own.
Internal AI tooling that automates our infrastructure, deployment monitoring and maintenance.
2+ years of engineering experience, or equivalent depth from research, open source or your own projects
Time at a fast-growing startup
You've designed and built systems from scratch
You've scaled and operated production infrastructure under real load
Strong systems fundamentals: distributed systems, Linux, Kubernetes, networking, concurrency
You use coding agents every day and still understand every line you ship
You build and tinker for fun because you genuinely care about how the technology works
You've built a sandboxing, browser automation or durable execution product
Meet the co-founders.
A one-week paid trial with us in the office.
Offer.
Location: San Francisco, in person. Most of the team is in the office every day.
Compensation: Competitive salary and meaningful equity.
Visa: We sponsor visas and support you through the immigration process.
Wakefield builds AI security services for companies that need to find and repair weaknesses in their web applications and software code. Its agents test running applications with customer-supplied logins or review connected code repositories, looking for flaws such as one user gaining access to another user's data. Each reported issue comes with a recorded reproduction, and the service generates a proposed code fix that the customer's team reviews and retests. The company sells enterprise contracts with usage-based fees and negotiated limits, keeping scan findings and remediation work together in its console. Wakefield is based in San Francisco.
Explore more opportunities at Wakefield