openashbyhqbalderton
Developer Marketing Manager
Prior Labs
LocationNew York, Freiburg, Berlin
WorkplaceOnSite
EmploymentFullTime
Posted2026-04-06T04:57:07.714+00:00
Last observed2026-06-24 08:29:16.175201
Job idbalderton-prior-labs:ashbyhq:a184483e-cc64-49fe-89b6-eeca9eb5078d
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 https://www.nature.com/articles/s41586-024-08328-6 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 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/ to improving clinical trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene. 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 https://priorlabs.ai/about 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 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 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 announce
This page is generated from the committed OpenOpps static snapshot. Use the source posting or apply link for the employer's current canonical posting state.