We build a platform that finds the bugs other testing approaches never see. Antithesis runs your entire system inside a deterministic simulation, breaks it in every way we can think of, and hands you a root cause with a perfect reproduction — no flaky tests, no false positives, no "works on my machine." Engineering teams debug faster and ship with far more confidence.
AI-generated code has made this work more urgent than ever. Agents write code faster than any human can, but faster code isn’t better code if it’s buggy, stuck in review, or quietly failing in production. The verification bottleneck is real, and it’s growing. That is precisely the problem Antithesis exists to solve. We’ve spent years quietly rethinking how the world approaches software reliability, and we’re just getting started.
We’re well-funded, deeply technical, and headquartered in Northern Virginia with satellite offices in London and San Francisco. Our team is in the office daily, which is how we take on hard problems together. If that sounds like fun to you, keep reading.
Antithesis is looking for an Accounting Operations Manager to build and run the operational backbone of our finance function. You'll own the systems, workflows, and controls that sit underneath our accounting work — making sure close runs smoothly, data is reliable, and the team can scale without adding headcount proportionally.
This role is for someone who sees process as leverage. You should be equally comfortable in the weeds of an ERP configuration and presenting a controls framework to leadership. We're in the office daily in Vienna, VA.
Ship confidently and free your engineering team to focus on creating business value. Antithesis enables you to find and eliminate bugs that cause system downtime and difficult-to-fix correctness issues.
Our platform combines AI with advanced testing methodologies to thoroughly explore distributed systems and find the bugs that other tools miss. The platform perfectly reproduces bugs and the conditions that led to them, dramatically reducing the time required to debug systems and enabling engineers to validate fixes with 100% certainty.
Instead of having engineers (or AI) write more test cases, the platform enables property-based testing where you define desired outcomes. Our autonomous AI-powered testing engine explores millions of code paths in parallel and smartly injects the kind of faults your code routinely experiences in hostile production environments. No more testing only the "happy path" and missing the issues that will haunt you in production.
