Director of Engineering

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 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 . 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+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter , Noah Hollmann , and Sauraj Gambhir , 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 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 operator role: managing engineers, building the hiring machine, setting standards, running compliance, and working closely with our partners at SAP. If you light up at making an organization fast rather than at owning the biggest possible headcount, this is your role. What you'll do Directly manage and grow the engineering team, including building out its management layer. Build the hiring machine: run hiring operations across our hiring managers, design interview loops that hold up in the AI era, and keep a very high bar while the team grows. Own engineering standards and velocity: how we review, test, and ship - and how the team gets real leverage from AI coding tools. Own our security and compliance program - SOC 2, GDPR, ISO 27001 - right-sized, so the lab keeps its speed. Own the engineering side of our collaboration with SAP. Treat the deployment layer as a product surface: our models reach customers through a managed API, customer VPCs, and self-hosted open weights, and the engineering behind that needs customer empathy, not just platform craft. Act as a sparring partner to the founders on ...

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