Technical Writer

At Deepnote, we’re building the next generation of data analytics tools. A new type of platform where teams can explore, analyze, and present data from start to finish — together. We want to make data notebooks the focal point for any data-driven team.

Content is a huge part of this mission. The best way to show the world what’s possible with Deepnote is to create it: viral notebooks, hands-on guides, quirky templates, and stories that inspire. That’s where you come in. 🚀

This role isn’t for everyone - and that’s okay! We’re not looking for someone to simply write docs. We’re looking for someone who gets excited about teaching, experimenting, and creating content that spreads. Someone who can take a dataset, a workflow, or a feature and turn it into something that both educates and delights.

Could you please send us a few examples of your work as a technical writer? You can include links to your samples in the More info section.

• 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’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 know the difference between content that educates and content that converts.

• You have experience with open-source, dev advocacy, or growth-driven content.