Help build systems that discover what's wrong before it matters.
We're a small team of experts building intelligent verification systems that don't exist yet. We use the best tools, work on delightfully hard problems, and let the evidence decide what's right. If this is what you're looking for, we'd like to meet you.
US-based. Fully remote. Cross-functional squads across AI/ML, data infrastructure, systems, compiler engineering, and product development.
Explore open rolesWhat We Look For
We look for builders and scientist-engineers with deep technical ability, strong systems judgment and a bias towards proving ideas in working systems.
- — Strong depth in a core discipline
- — Willing to own problems outside your title when the program needs it
- — Clear communicator who can reason in tradeoffs and constraints
- — Bias toward building, measuring and improving
- — Comfortable being wrong fast and adjusting. We change direction when the data says to.
- — You do what you say you'll do. We don't micromanage.
If you prefer highly segmented ownership, long planning cycles before building or work that ends at the prototype, we may not be the right fit.
What We Value in Practice
Use failed experiments as data and improve quickly
For Agentic SQA, the metric is decision quality: do teams make better release decisions with our outputs than without them? We start with the metric and work backwards.
Surface risks early, make tradeoffs explicit and take responsibility for outcomes
Move quickly without compromising instrumentation, testing or reviewability
Success is only achieved through strong collaboration across disciplines, not isolated excellence
Open Roles
Don't see your role? Email [email protected] and tell us what you'd build.