Technical Recruiter (Berlin)

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About the role

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. About the Role We're hiring a technical recruiter to own hiring across Science, Engineering and Data Science. These are three distinct talent markets with three distinct assessment bars, and you'll own all of them end-to-end. We're scaling fast, and competing directly with the best-funded labs in the world for the same people. Your Responsibilities • Source scarce ML research, infrastructure, and forward-deployed talent globally, exploring mainstream and niche talent pools • Position Prior Labs compellingly against other foundation model labs such as OpenAI, Anthropic, DeepMind, and Mistral and against the enterprise AI companies competing for FDE talent • Navigate multi-hub hiring across Freiburg, Berlin, and New York (visas, comp bands, notice periods) • Screen technical depth quickly across research, engineering, and customer-facing profiles without burning researcher or founder time • Run efficient, structured interview loops with clear rubrics and fast debriefs, calibrated separately for research, engineering, and FDE archetypes • Manage, negotiate and close offers, including against competing frontier-lab packages • Manage the pipeline operationally in the ATS with clean stages and weekly metrics The experience we are looking for • 5+ years in-house technical recruiting at a deep-tech, AI/ML, or research-led startup (Series A and ), or in a frontier lab's talent team • Track record closing ML researchers or research engineers against top tier frontier labs (e.g. OpenAI, Anthropic, DeepMind, Mistral) • Experience hiring at least one customer-facing engineering profile (forward deployed, solutions, or applied engineering) — the assessment bar is different and you'll need to know why • Hands-on hiring across at least two of: Germany, wider EU, and the US (NYC) • Fluency in the ML talent landscape: top labs, conferences (NeurIPS, ICML, ICLR, AutoML), and what distinguishes a strong research vs. engineering vs. infrastructure profile • Modern ATS architecture (Ashby or equivalent): stage design, rejection taxonomy, funnel reporting The behaviours we want you to bring everyday to the office • High agency and ownership and operates as a full stack recruiter • Direct and commercially honest with both candidates and hiring managers • Detail-obsessed on pipeline hygiene and weekly metrics; treats the ATS as a source of truth Location: 5 days a week based in our Berlin Office (near Rosa-Luxemburg-Straße U-Bahn Station) Life at Prior Labs You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right. Ou

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