Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi.
In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.
Prior Labs builds TabPFN, the foundation model for tabular data, and is now part of SAP. Your job is to make SAP's sellers and solution teams effective at finding, qualifying, and winning TabPFN opportunities, and to make the partnership work commercially for both sides. You will act as an individual contributor and in parallel build and manage the team around this motion.
Nice to have: Marketplace and co-sell experience with a hyperscaler; depth in financial services, insurance, retail, energy, or manufacturing; background selling or partnering into data and ML infrastructure.
Our teams are based in Berlin, Freiburg, and New York. Great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices.
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