Meet Rel—a decision agent grounded in your semantic model and powered by advanced reasoners. Backed by Madrona and Menlo.
About the role
You will be embedded inside our customers' hardest problems, and you will own the outcome until it works in production.
What they're looking for
- Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it's nobody's job, it becomes yours
- You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You'd rather show a working prototype on real data than a diagram of one
- Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don't satisfy you
- Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you've never seen, you're useful within days. "I only do backend" and "that's not my job" are phrases you don't use
- High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping
- Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now
More about this role
At RelationalAI , we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.
Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.
RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.
By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners , we deliver trustworthy decision intelligence : systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.
We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.
If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI,...
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