What they lack is a way to work with it at scale. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automate. * Build Product, Not Projects: Unlike traditional consulting, you will build reusable core components of our platform that scale across different SAP environments. * Hard problems worth solving: SAP semantics, AI-ready data, and enterprise-scale deployment — this is genuinely challenging and exciting work * Growth trajectory: As the platform and company scale, so does the scope of this role
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