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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.
Job Responsibility:
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)
Requirements:
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
Nice to have:
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
What we offer:
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