Office Manager, Berlin

Who we are

Foundation models have transformed text and images, but structured data - the largest and most consequential data modality in the world - has remained untouched. Tables power every clinical trial, every financial model, every scientific experiment, every business decision. No one has built a foundation model that truly understands them.

Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening - and we're hiring the team that makes it.

Momentum: We pioneered tabular foundation models and are now the world-leading organization in structured data ML. Our TabPFN v2 model was published in Nature and set a new state-of-the-art for tabular machine learning. Since its release, we've scaled model capabilities more than 20x, reached 3M+ downloads, 6,000+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical trial decisions with BostonGene.

The hardest work is in front of us. We're scaling tabular foundation models to handle millions of rows, thousands of features, real-time inference, and entirely new data modalities - while building the infrastructure to deploy them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level.

Our team: We’re a small, highly selective team of 20+ engineers, researchers and GTM specialists, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, led by Frank Hutter, Noah Hollmann and Sauraj Gambhir and advised by world-leading AI researchers such as Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, create top-tier research, and hold each other to an extremely high bar.

What’s Next: In 2025, we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here which makes this an optimal time to join.

Your Mission

As our Office Manager, you will be the heartbeat of our Berlin office, ensuring our workspace runs smoothly and our team can focus on breakthrough research. This part-time role is perfect for working students or those seeking a flexible work arrangement and want hands-on experience at a fast-growing AI startup while contributing to a mission-driven culture.

Location: Berlin (on-site)

What You'll Do

• Office Operations: Keep our Berlin office running smoothly - manage supplies, coordinate with vendors, handle mail and deliveries, and ensure our workspace is organized and functional

• Culture Building: Help create a welcoming, productive environment that reflects our values; be the person who makes everyone's day a little better through organising lunches, dinners and socials for the team!

• Event Support: Assist with office events and company gatherings that bring our team together. We also go to conferences and offsites too! Your role will also involve helping organising the logistics of these events.

• Space Management: Maintain an inspiring, well-organized workspace; anticipate needs and solve problems before they arise

What We're Looking For

You're a hands-on, reliable, and structured individual who thrives on creating order and keeping things running efficiently. We're looking for someone who takes initiative, enjoys contributing to company culture, and doesn't wait to be asked before jumping in to help.

This role is perfect if you:

• Are hands-on and proactive - you see what needs to be done and do it

• Enjoy creating a positive environment and contributing to culture

• Are comfortable working independently while being a team player

Essential Background:

• Excellent organizational and time-management skills

• Clear communication skills in both German and English

• A proactive, can-do attitude and willingness to tackle any task

• Genuine interest in startups, technology, and creating great workspaces

• Fluent German and English is required for this role (as you will be speaking to local agencies and vendors)

Preferred Qualifications:

• Previous experience in office management, administrative roles, or hospitality

• Familiarity with Berlin's vendor and service landscape

• Experience working in startup or fast-paced environments

What We Offer

• Compensation: Competitive compensation benchmarked to the Berlin market

• Tools & environment: You'll have access to modern tools to help you be as productive as possible! (We use Apple, GSuite, Notion and Claude!)

• Offsites: Annual company-wide offsites to bring the whole team together (last one was in the Alps 🏔️)

• Benefits: Comprehensive benefits package aligned to the location and office that you are joining us in. In Freiburg, key benefits include 30 days of paid vacation + public holidays plus including healthcare, transportation, and fitness!

Life at Prior Labs

We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with.

We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you.

Our Commitments

We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box."

We're committed to creating a safe, inclusive environment and providing 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. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.