
Deepnote
A better data science notebook.
What Deepnote does
Data science is as much a scientific and creative process as it is an engineering one. It involves working together, failing, learning and going back to the drawing board. Data scientists are explorers. To make data projects successful, we need tools that are both powerful and easy to use. Tools that help us collaborate and share our work in an engaging way. Tools that make data science fun again. At Deepnote, we’re building a new standard in data tooling — a notebook that brings teams together to explore, analyze and present data from start to finish. We are building tools for explorers. Join us.
2 open roles
What the role involves
At Deepnote we are building a better Jupyter notebook. We work with TypeScript/React/Python/Docker/Kubernetes/Jupyter to build infrastructure for running heavy machine learning workloads and to give everyone access to a state-of-the-art data science tooling. We are looking for experienced developers excited about contributing to open source software and helping researchers, developers and data scientists solve hard problems.
What the role involves
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. 🚀 About you 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. ✍🏻 What you’ll work on Viral notebooks that showcase what’s possible with data in Deepnote. Niche-focused content like articles, posts, or tutorials designed to resonate with our data community. Guides & tutorials that help teams go from “just starting” to “I got this.” Use cases and templates that make Deepnote’s value concrete. Distribution experiments like SEO, snippets for socials, seeding content in communities. ➕ Other points 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. 💸 Perks and benefits Very competitive compensation package 💵 Equity options in an early-stage venture ready to scale 🚀 A team of the smartest and kindest people you’ll ever meet 🧠 Team events, off-sites, and incredibly fun company retreats 🌊 Credit card with unlimited budget for learning, self-development, and work-related expenses 💳 Travel budget to meet the team 🛫 25 days of PTO and unlimited sick days 🏝️ Paid parental/family leave 👶 Super cool swag 👕 Flexible working hours 🕣 $2,000 Kick-start bonus to get you set up 💰 $1,000 Health budget 💰
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Questions and experiences
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.