AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.

zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.

zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of AI runs on, we'd love to talk.

You'll be zaimler's first technical writer. That means you won't just write docs, you'll decide what the docs strategy looks like, what tooling to use, and how documentation fits into the product and customer experience from day one. Our platform sits at the intersection of knowledge graphs, data infrastructure, and AI agents, and the people using it are senior engineers and data teams at large enterprises. They need documentation that is precise, trustworthy, and written by someone who actually understands the systems behind it.

This role touches everything: API references, SDK guides, platform architecture docs, customer onboarding materials, integration guides, and internal engineering documentation. You'll work directly with engineering, product, and GTM to make zaimler's technology accessible and self-serve.