--- title: 'Visiting Associate Cohort at Prior Labs' canonical: 'https://feeny.ai/job/visiting-associate-cohort-prior-labs-berlin-74t53y2nb9zq' type: 'job' last_seen: '2026-09-11' --- # Visiting Associate Cohort at Prior Labs - **Company:** Prior Labs - **Location:** Berlin, Germany - **Employment:** internship - **Work type:** onsite - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/prior-labs/e8bbd087-8362-465c-9633-dc17d6f13430 ## Job description ## 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. ## 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. The Tracks Tracks you can pick from: - Growth & Sales Enablement - Marketing & Community - Expansion & People Ops - Hiring Growth & Sales Enablement Leads that reach Prior Labs get qualified, enriched, scored, and routed automatically. You own that engine, and you build everything around the sales team's conversations so they can focus on selling to some of the largest companies in the world. - 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 Marketing & Community We want to be everywhere, and that's your job: video, visuals, merch, events, the feed. You live on it, you know why a post did well, and you have a sense for what's coming next. - 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 Expansion & People Ops We're doubling headcount across 2 countries, and everything behind that is being built right now. If you're obsessed with people, culture, and process building, this is your playground. - 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 Hiring Nothing shapes the company more than who joins it. We're hiring across every function, at the bar of a frontier AI lab. You help us find the people and build the machine that gets them here. - 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 ## What You Bring (all tracks) - 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 ## What We Offer - Real ownership of a defined function, with a manager who has time for you - A front-row seat inside a fast-scaling AI company - An AI-first way of working, with the tooling and budget to match - Duration: 6 months - Location: Berlin office, NYC office, on-site 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. Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together. Our Commitments The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled - see our [Recruiting Data Privacy](https://priorlabs.ai/recruiting-data-privacy) page ## About Prior Labs ## Company Overview - **One-liner**: Prior Labs builds state-of-the-art tabular foundation models (starting with TabPFN) that natively understand structured data, enabling zero-shot and fine-tuned predictions for spreadsheets, databases, and enterprise data workflows. - **Entity Type**: Private (Pre-Seed/Seed stage; $9.4M total funding) - **Headquarters**: Freiburg, Germany (with offices in Berlin, New York, and San Francisco) - **Founded**: 2024 - **Founders**: Frank Hutter, Noah Hollmann, Alexander Rudolf Diehl, Sauraj Gambhir ## Core Business - **Primary Industry**: Artificial Intelligence / Foundation Models for Tabular Data - **Target Customers**: B2B – Data science teams, enterprise data analysts, quantitative researchers, and agent developers in finance, healthcare, energy, and business analytics. - **Mission / Purpose**: "Help humanity make better decisions" by creating the world’s most capable tabular AI — a foundation for discovery across science, medicine, and the global economy. ## Products & Services - **TabPFN-3 (API)**: Their frontier model for structured data prediction. Handles up to 1M rows in 0.2 seconds. Features a "Thinking mode" that achieves +420 ELO and beats AutoML in 80% of cases on the TabArena benchmark. - **TabPFN-3 (VPC / Private Cloud)**: Deploy the same frontier model inside a customer's own cloud environment for sensitive data (healthcare, finance, defense). - **Agent SDK / Integration**: Embed tabular intelligence into AI agents, enabling structured data reasoning for agentic workflows. - **Synthetic Data Generation**: Generate high-quality synthetic tabular data for privacy-preserving analytics, model training, or data augmentation. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed (private company). - **Key Financials**: $9.4M in total funding (Seed round closed Feb 2025; corporate/pre-seed rounds prior) - **Notable Investors / Partners**: Balderton Capital, XTX Ventures, SAP Founder Hans-Werner Hector’s Hector Foundation, Atlantic Labs, Galion.exe. Angels include Thomas Wolf (Hugging Face Co-Founder), Peter Sarlin (Silo AI), Guy Podjarny (Snyk/Tessl), Ed Grefenstette (DeepMind), Robin Rombach (Black Forest Labs), and Christopher Lynch (AtScale). - **Growth Signals**: Headcount grew 320% YoY to ~39 employees (from 7 in 2024). Recent acquisition by SAP (signed definitive agreement in 2025). Active job postings: 22. Operates in 10 countries. ## Competitive Advantages - **First-mover in "Tabular Foundation Models"**: While LLMs and vision models are saturated, Prior Labs is pioneering large-scale pre-trained transformers for spreadsheets and databases. - **Breathtaking Performance**: 93% win rate over classic ML on TabArena; beats AutoML in 80% of cases; 0.2s inference on 1M rows — orders of magnitude faster than traditional AutoML pipelines. - **Scientific Lineage**: Founders and team come from top ML institutions (University of Freiburg, Max Planck Institute, Meta FAIR). Scientific advisory board includes Yann LeCun and Bernhard Schölkopf. - **Acquisition by SAP**: Signed definitive agreement — provides immediate enterprise credibility, distribution, and resources for scaling. ## Strategic Focus - **Scale the model**: Continue improving TabPFN-3 with "Thinking mode" and larger context windows for complex reasoning. - **Enterprise adoption**: Expand into healthcare cancer risk prediction, financial trading, and energy forecasting via VPC deployments. - **Agent ecosystem**: Make TabPFN the default AI for structured data in agentic workflows (LangChain, AutoGPT, etc.). - **Post-acquisition integration**: Embed the technology into SAP’s business suite to power predictive analytics for millions of enterprises. ## Why Work Here - **Cutting-edge AI work**: Work with state-of-the-art foundation model architecture, substantial compute resources, and a world-class team (Google DeepMind, Meta, Hugging Face alumni). - **Meaningful impact**: Solve real problems in science, medicine, and finance — not just another chatbot. - **Generous benefits**: 30 days paid vacation + public holidays (paid out if not taken), competitive salary + meaningful equity, seamless relocation support (including relocation bonus), healthcare, transportation, fitness, team lunches & company offsites. - **Office-first culture, multiple hubs**: In-office policy in Freiburg (academic excellence + nature), Berlin (tech/culture), New York (energy/talent), and San Francisco (innovation epicenter). Strong preference for in-person collaboration with top-tier peers. - **Team values**: High integrity, high-performance empathetic culture, undogmatic ("valuing output over principles"), and mission-driven. - **Growth stage**: High growth (320% YoY) + post-acquisition by SAP means accelerated impact, resources, and career development. ## Sources 1. [priorlabs.ai](https://priorlabs.ai/) 2. [priorlabs.ai/careers](https://priorlabs.ai/careers) 3. [priorlabs.ai/about](https://priorlabs.ai/about) 4. [LinkedIn (Prior Labs)](https://www.linkedin.com/company/prior-labs) 5. [Built In (Prior Labs)](https://builtin.com/company/prior-labs) ## Other roles at Prior Labs - [Technical Product Manager, Integrations](https://feeny.ai/job/technical-product-manager-integrations-prior-labs-berlin-9b8r2w1rk6vs) — Berlin, Germany - [Director of Engineering](https://feeny.ai/job/director-of-engineering-prior-labs-berlin-kwhgq8ardmsh) — Berlin, Germany - [Founder Associate (NYC)](https://feeny.ai/job/founder-associate-nyc-prior-labs-new-york-pgwmkf4z47nw) — New York, NY - [Founder Associate (Berlin)](https://feeny.ai/job/founder-associate-berlin-prior-labs-berlin-av0j7475f3mz) — Berlin, Germany - [Partnerships Manager (SAP)](https://feeny.ai/job/partnerships-manager-sap-prior-labs-new-york-ps8a717nst6y) — New York, NY - [Partnerships Manager (Non-SAP)](https://feeny.ai/job/partnerships-manager-non-sap-prior-labs-new-york-538y9t74bc87) — New York, NY - [Technical Recruiter (Berlin)](https://feeny.ai/job/technical-recruiter-berlin-prior-labs-berlin-9d9ctmt8a209) — Berlin, Germany - [Recruiter, GTM and Ops (New York)](https://feeny.ai/job/recruiter-gtm-and-ops-new-york-prior-labs-new-york-6rrx7hrd27ag) — New York, NY - [Contract Recruiter, GTM and Ops (New York)](https://feeny.ai/job/contract-recruiter-gtm-and-ops-new-york-prior-labs-new-york-k8rzvgnxp78x) — New York, NY - [ML Engineer, Infrastructure](https://feeny.ai/job/ml-engineer-infrastructure-prior-labs-berlin-y4w4mhhjn2hy) — Berlin, Germany