Join Prior Labs Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases—the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $100B opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence. Our Impact: We aim to be the world-leading organization working on structured data. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for small structured data. Our models have gained significant traction with 1M downloads and 2,500 GitHub stars. We are now building the next generation of models that combine AI advancements with specialized architectures for structured data. Backing and Momentum: With €9M in pre-seed funding from top-tier investors including Balderton Capital, XTX Ventures, and Hector Foundation—and support from leaders at Hugging Face, DeepMind, and Silo AI—we’re moving rapidly toward commercialization. Core Areas of Impact As our Community Lead, you will build and nurture a vibrant community around our foundation models while driving our go-to-market strategy. You'll be the bridge between our technical breakthroughs and the data science community, creating compelling narratives that showcase our technology's potential. This is a unique opportunity to: Community Building & Engagement Design and execute our community strategy across Discord, GitHub, and social media Create and moderate our Discord community, fostering meaningful discussions and connections Organize virtual and in-person events, from technical workshops to community meetups Build relationships with key community members and thought leaders Develop ambassador and expert programs to recognize community contributors Content & Education Oversee the creation of high-quality technical content, from blog posts to tutorials Work with our technical team to develop educational materials and documentation Launch and manage a technical blog showcasing our research and applications Create engaging social media content that resonates with data scientists Develop case studies highlighting successful implementations Growth & Go-to-Market Drive our product-led growth strategy Analyze community feedback to inform product development Identify and nurture potential enterprise opportunities from community engagement Build relationships with academic institutions and research labs Track and optimize key community and growth metrics What We're Looking For You're a technical community builder who understands both the data science ecosystem and the principles of community-led growth. You have: Essential Background Technical background with Bachelor's or Master's in Computer Science, Data Science, or related field 3 years experience in developer relations, community management, or similar roles Strong understanding of machine learning and data science Excellent written and verbal communication skills Experience growing and managing technical communities Track record of creating technical content for developer audiences Proven ability to execute go-to-market strategies What Makes You Special Experience with MLOps, AutoML, or foundation models Background in data science or machine learning engineering History of building successful Discord or GitHub communities Experience organizing technical events or conferences Strong network in the data science community Background in product-led growth Open source project experience Public speaking experience Overview Application Join Prior Labs Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases—the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $100B opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence. Our Impact: We aim to be the world-leading organization working on structured data. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for small structured data. Our models have gained significant traction with 1M downloads and 2,500 GitHub stars. We are now building the next generation of models that combine AI advancements with specialized architectures for structured data. Backing and Momentum: With €9M in pre-seed funding from top-tier investors including Balderton Capital, XTX Ventures, and Hector Foundation—and support from leaders at Hugging Face, DeepMind, and Silo AI—we’re moving rapidly toward commercialization. About the role You'll own and develop the core infrastructure that makes our foundation models accessible and scalable. As one of our earliest engineering hires, you'll have the opportunity to shape our technical infrastructure but also your own role as the team grows - whether that means specializing in areas you're most passionate about or growing into a technical leadership position. Initial Scope Design and implement production-grade model serving APIs (currently https://github.com/automl/tabpfn-client ) Build comprehensive monitoring, analytics, and observability systems Develop secure, GDPR-compliant infrastructure Create robust deployment and load balancing systems Implement usage tracking and quota management Design scalable data storage solutions Growth Opportunities As our team expands, you'll have the flexibility to: Specialize in areas that match your interests and strengths (e.g., ML infrastructure, Backend Development) Build and lead a team of engineers Define technical strategy and architecture for new product initiatives Qualifications 3 years of experience with backend software development in one or more programming languages, and with data structures/algorithms 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture Experience building production-grade APIs with FastAPI What Sets You Apart: Master's degree or PhD in Computer Science or related technical field Experience in a technical leadership role Contributions to open-source projects in related fields Experience building ML infrastructure or collaborating with ML research teams Knowledge of cloud platforms (AWS/GCP) Experience with data privacy and security best practices Interest in foundation models and their applications Location 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 Benefits 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