Meet Rel—a decision agent grounded in your semantic model and powered by advanced reasoners. Backed by Madrona and Menlo.
About the role
As a Support Engineer, you’ll spend your first months immersed in learning RAI’s products, support and other internal processes, and working on support cases from customers to build up the appropriate level of experience and insight needed to deliver the level of support RAI’s customers have come to appreciate and expect. You will also have the opportunity to become deeply skilled in specific areas of interest within the product, acting as a Subject Matter Expert for our Field Engineering team.
What they're looking for
- Passion for solving customer problems
- Take responsibility and ownership of customer problems
- Ability to handle a range of urgent to minor support requests during business hours, with occasional off-hours scheduled work and on-call shifts
- Establish and constantly build upon a solid technical understanding of RAI and how our customers build, deploy and manage applications using our platform
- Collaborate effectively with Sales, Field Engineering and Product Engineering to understand and resolve customer issues completely and expediently
- Constantly work to streamline and improve processes, tools, RAI’s product offerings, and the overall customer experience
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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