Prior Labs · Berlin
Who we are ----------
Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.
We pioneered tabular foundation models: TabPFN v2 was a Nature(https://www.nature.com/articles/s41586-024-08328-6) cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics(https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease) to preventing train failures with Hitachi(https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/). The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.
We're a small, highly selective team of 40+(https://priorlabs.ai/about) with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter(https://www.linkedin.com/in/frank-hutter-9190b24b/), Noah Hollmann(https://www.linkedin.com/in/noah-hollmann-668b9010b/), and Sauraj Gambhir(https://www.linkedin.com/in/sauraj-g/), and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.
In July 2026, less than 18 months after our €9M pre-seed, we joined SAP(https://priorlabs.ai/blog-posts/priorlabs-sap) as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.
The role --------
You will be our first dedicated engineering leader, reporting to the CTO with a direct line to both founders - no layers in between.
Today, engineering at Prior Labs is a small, very senior team. We plan to grow it substantially over the next 18 months, and your job is to build and run that organization.
We want to be honest about what this job is. It is a hands-on oper…
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