
Technical Writer
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Salary analysis
Compared with the selected benchmark ("Market Average: Mid-Level Level"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€7,401–€11,929). The offer's range width is broadly in line with the benchmark. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Technical Writer | €3,620/per month | €6,633/per month | €11,136/per month |
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. 🚀 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 💰
Job Details
Responsibilities
- Create viral notebooks showcasing data possibilities in Deepnote
- Develop niche-focused content such as articles and tutorials
- Produce guides and tutorials for teams from beginner to proficient
- Create use cases and templates demonstrating Deepnote’s value
- Run distribution experiments (SEO, social snippets, community seeding)
Requirements
- Fluent in English (C1+)
- Experience writing technical content and building a portfolio of notebooks
- SQL and Python proficiency
- Familiar with data science workflows and analytics problems
- Experience with AI tools and LLMs
- Self-management and ability to QA own work
Skills & Technologies

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