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.
The Role
We're looking for a Developer Marketing Manager to own how Prior Labs shows up in the world. You'll be the voice behind our social channels, the author of our blogs posts and manage our video content. You are the connector between our product and our ecosystem.
This isn't a pure content factory role. You need to understand what we build well enough to explain it clearly and compellingly to ML engineers, data scientists, and technical decision-makers. The best content you'll create sits at the intersection of technically credible and genuinely engaging.
You'll also play a role in how we show up in developer communities - supporting launches, events, engaging with our open source audience on GitHub and Discord, and helping us build presence where data scientists actually spend their time.
What You'll Work On
Own and manage our social media channels - LinkedIn, Twitter/X, Reddit, Discord and others - building a consistent presence and voice
Write and edit technical blog posts, tutorials, and long-form content for our developer audience
Script and manage content for paid ads, webinars, and organic social
Create content for partner collaborations and commercial initiatives
Develop technical tutorials and educational resources that help data scientists get real value from TabPFN
Collaborate on product launches and announcements, shaping how we communicate new capabilities to our developer audience
Engage with our open source community on GitHub, Discord, and data science forums to build authentic presence
Identify and build relationships with data science creators, researchers, and community voices for content collaboration
Maintain an editorial calendar and keep content shipping consistently across formats
Collaborate closely with our research and engineering teams to translate complex ideas into accessible content
What We're Looking For
3+ years in content marketing, developer marketing, or technical content -- ideally at a developer-focused or ML/AI company
Strong writing skills across formats: social, long-form, technical, and conversational
Enough technical fluency to engage credibly with an ML audience
An understanding for what resonates with data scientists and developers, not just general tech audiences
Self-directed and comfortable operating in an early-stage environment where you'll own things end to end
Familiarity with the ML/data science ecosystem - TabPFN, scikit-learn, Kaggle, Hugging Face, etc.
Nice to Have
Experience with video content production or scripting
Active presence in data science or ML communities - GitHub, Discord, Reddit, Twitter/X
Experience supporting developer-facing product launches or open source projects
Experience at a high growth startup or in a founding content role
What We Offer
A genuinely important problem - structured data is everywhere and nobody has cracked this yet
Direct collaboration with world-class researchers and engineers
The autonomy to build the content function from the ground up
Competitive salary and equity at an early-stage company with strong momentum
Offices in Freiburg, Berlin, San Francisco and NYC with flexibility to work across our locations
Competitive compensation package with meaningful equity (We compete with the world's biggest AI companies for talent)
Work with state-of-the-art ML architecture, substantial compute resources, and a world-class team
Annual company-wide offsites to bring the team together (last trip was to the Alps 🏔️)
30 days of paid vacation + public holidays
Comprehensive benefits including healthcare, transportation, and fitness
Support with relocation where needed
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, disabilities, or any other traits that make
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