Visiting Associate Cohort

Prior Labs•Berlin, NY

12d•€3,000 - €4,000•Hybrid

About The Position

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 small cohort of Visiting Associates: generalists at heart, with sharp minds who each own one defined area. You pick your preferred track(s) when you apply (or we help you pick during the process), you get a real scope, and you're managed directly by the founders' office. We give you genuine ownership of a function most companies would staff with someone 5y more senior. This is a fast track: you take the lead on your area, go deep, and get in 6 months what usually takes years. Everything we do is AI-first, so you'll spend less time on the grunt work and more time building the systems that make it obsolete. You'll leave having run a real business function the way companies will run them in 5 years, or top performers stay with us to keep on building.

Requirements

Pursuing or recently finished a degree in business, economics, engineering, or something adjacent. Or you've done the work without the credential!
You already work in an AI-first way. You try new tools the moment they come out, you know where they save time, and you know where your own judgment still has to take over
High-agency. You ship a v1 quickly, iterate, and don't wait for a brief to figure out what needs doing
Structured and reliable: when you own something, it's handled
You write clearly and communicate proactively, in English

Responsibilities

Own the inbound pipeline end to end: better scoring, smarter routing, more automation
Build the pipeline reporting the founders and sales team actually use
Test new channels: data sources, outbound angles, our first paid experiments
Automate call prep: short briefings so no one walks into a call cold
Own decks, case studies, battle cards, and demo assets
Own our social channels end to end: what goes out, where, and why
Build the system behind it: templates, automations, a repeatable pipeline from idea to published post
Produce the fun stuff: video, visuals, memes, merch people actually want to wear
Turn launches, papers, and customer wins into stories
Support our presence at conferences and events, from pre-event promo to on-site capture to recap
Shape the culture as we scale: offsites, team events, the rituals that keep 40 people feeling like one team
Help open our new offices and set up new countries
Own onboarding end to end, from signed contract to a solid first week
Take clunky people processes, redesign it, ship it
Source with the best AI tooling: map the market, surface the people who aren't looking, run outbound that doesn't feel like outbound
Figure out where the best people are: the communities, groups, and job boards worth being in, and get us there
Own our hiring/ATS setup: pipelines, scorecards, automations, full candidate experience
Build the playbooks: sourcing guides, interview kits, the process behind every open role