Create viral notebooks that showcase what’s possible with data in Deepnote.
Produce niche-focused content such as articles, posts, and tutorials designed to resonate with the data community.
Write guides and tutorials that help teams go from “just starting” to “I got this.”
Build use cases and templates that make Deepnote’s value concrete.
Run distribution experiments including SEO, social snippets, and community seeding.
Take datasets, workflows, or features and turn them into educational and delightful content.
Requirements
You love writing and explaining technical topics. You’ve published blog posts, taught classes, or built a portfolio (of notebooks) you’re proud of.
You’re fluent in English (C1+).
You know your way around data science: You clearly know SQL and Python and you’re comfortable exploring workflows and analytics problems.
You’ve played with LLMs/AI-powered tools — from prompt-engineering chatbots to building data-driven copilots — and you’re excited about their potential.
You understand the basics of how LLMs work (tokenization, context windows, trade-offs between cost, speed, and quality).
You don’t need someone to hold your hand. You can manage yourself, prioritize, and QA your own work.
You’ve built an audience around your writing (blog, Medium, Substack, Twitter/X, etc.).
You’ve TA’d or taught data science or analytics.
You’ve written content that went viral — and can explain why.
You have experience with open-source, dev advocacy, or growth-driven content.