Founding Developer Relations Engineer

Prior Labs is building foundation models that understand tabular data, the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $600B opportunity to fundamentally change how organizations work with scientific, medical, financial, and business data.

Momentum: We’re 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 2.5M+ downloads, 5,500+ GitHub stars, and are seeing accelerating adoption across research and industry. We’re now building the next generation of tabular foundation models and actively commercializing them with global enterprises across Europe and the US.

Our team: We’re a small, highly selective team of 20+ engineers and researchers, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, led by the creators of TabPFN and advised by world-leading AI researchers such as Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet the team here.

What’s Next: Backed by top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we’re scaling fast. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.

As the Developer Relations - Founding Role at Prior Labs, you will be the technical face of Prior Labs, responsible for nurturing a vibrant community around our foundation models. As the first DevRel hire, you will create and share meaningful content, build samples and tutorials, improve documentation, and contribute code when needed. You'll directly engage with data scientists through social media, blogs, Discord, GitHub, and at events, providing insights and support while collecting feedback that directly influences what we build. This role requires a unique balance: you must be technical enough to earn credibility with ML engineers and social enough to build genuine relationships with our developer community.

Your week balances technical building with community engagement:

Technical work (~60%): Write Python demos and Colab notebooks, contribute bug fixes and improvements to our repos, create tutorials showing real TabPFN use cases, experiment with the model on diverse datasets, build sample applications

Community work (~40%): Answer questions on Discord and GitHub, host community office hours, share content and engage on social media, gather and synthesize developer feedback, organize virtual events or hackathons

• Be the active, helpful voice of Prior Labs across Discord, GitHub, social media, and data science communities

• Provide technical support: answer developer questions, help debug issues, contribute bug fixes based on community feedback

• Organize community initiatives like virtual meetups, hackathons, or ambassador programs

• Participate in data science communities and competitions (Kaggle, etc.) to showcase TabPFN and build credibility

• Ship technical content that helps data scientists succeed: tutorials, demos, Colab notebooks, blog posts, comparative analyses

• Build resources from scratch: identify use cases, gather data, implement solutions, showcase results

• Maintain and improve technical documentation based on community feedback

• Experiment with TabPFN on diverse datasets to discover and demonstrate capabilities

• Partner with the founding team to shape DevRel strategy and priorities

• Synthesize community feedback and translate it into actionable product insights

• Build relationships with data science practitioners, influencers, and partners for content collaboration

• Track and optimize community metrics (engagement, adoption, content reach)

• Technical background with Bachelor's or Master's in Computer Science, Data Science, or related field

• Strong Python skills and ability to write clean, functional code

• Solid ML fundamentals: you understand training, fine-tuning, inference, and can work with frameworks like scikit-learn, PyTorch, or similar

• Proven track record of technical work in public - we need to see your contributions (open source PRs, technical blog posts, GitHub projects, conference talks, etc.)

• You've actively participated in and contributed to technical communities (GitHub, Discord, Stack Overflow, Twitter/X, Reddit, etc.)

• Excellent written and verbal communication - you can explain complex ML concepts clearly to practitioners

• Comfortable being a public face - you enjoy developer engagement on social media, forums, and at events

• 3+ years in developer relations, community management, technical content creation, ML engineering with community involvement, or similar roles where you've bridged technical and community work

• Track record of creating technical content that developers actually use and reference

• You've competed in Kaggle or similar data science competitions

• Background as a data science or ML engineering practitioner

• Experience with AutoML, MLOps, or foundation models

• You've built or grown technical communities (Discord, GitHub, forums) from scratch

• You've organized technical events, hackathons, or conferences

• Active network in the data science/ML community

• Open source maintainer or frequent contributor

• Public speaking experience at technical conferences or meetups

• Offices in Freiburg, Germany - a university city at the edge of the Black Forest, Switzerland and France, and Berlin—a global tech hub and one of Europe’s most dynamic cities

• Competitive compensation package with meaningful equity

• 30 days of paid vacation + public holidays

• Comprehensive benefits including healthcare, transportation, and fitness

• Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team

• 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 you who you are.