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Zaimler is tackling the unglamorous but critical problem of preparing enterprise data for AI workloads — the bottleneck that stops most companies shipping useful AI products. The team brings over two decades of combined experience running data infrastructure and ML research at companies like Meta, LinkedIn, Apple, Snowflake, and Atlassian, and they're backed by top-tier VCs. They're early-stage and hiring, which means you'd be joining at the ground floor to help define how enterprises unlock their data for the AI era. If you care about infrastructure that actually enables AI rather than just talking about it, this is a rare chance to work with people who've scaled these systems at some of the world's most data-intensive companies.
Talk to Jack and he’ll help you get considered for the roles below, or anything else that fits what you’re looking for.
