---
title: 'Technical Writer at Deepnote'
canonical: 'https://feeny.ai/job/technical-writer-deepnote-remote-kp1yww9gxg8f'
type: 'job'
last_seen: '2026-09-13'
---

# Technical Writer at Deepnote

- **Company:** Deepnote
- **Location:** Remote
- **Employment:** part-time
- **Work type:** remote
- **Posted:** 2026-03-20
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/deepnote/eb00d9b0-0dfc-4ff7-9aa4-19cf22e9644c

## Job description

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 💰

## About Deepnote

## Company Overview
- **One-liner**: Deepnote is a collaborative data workspace where humans and AI agents work together to explore, analyze, and share data using Python, SQL, and R in a cloud-based notebook environment.
- **Entity Type**: Private (Series A)  
- **Headquarters**: San Francisco, California, United States  
- **Founded**: 2019 (Y Combinator Summer 2019 batch)  
- **Founders**: Jakub Jurovych  

## Core Business
- **Primary industry**: Data analytics / Data science software  
- **Target customers**: B2B – data teams, data scientists, analysts, and engineers across enterprises and SMBs  
- **Mission**: “Build tools for explorers” – a notebook that brings teams together to code, query, visualize, organize, and share in one place.

## Products & Services
- **Deepnote Platform (SaaS)**: Cloud-native collaborative notebook supporting Python, SQL, and R. Includes AI copilot for code generation, debugging, and analysis; scheduling; interactive dashboards and data apps; semantic layer; version control; and integrations with 100+ data sources (BigQuery, Snowflake, PostgreSQL, etc.).  
- **Hyperquery (acquired 2024)**: A query collaboration tool folded into Deepnote to help organizations democratize AI and data analytics.  
- **Deepnote AI Copilot**: Context-aware assistant that generates and explains code, performs analyses, and creates visualizations from natural language descriptions.  
- **Deploy notebooks as APIs**: Turn analyses into production-ready endpoints.  
- **Security & Compliance**: HIPAA, SOC 2, GDPR compliant; RBAC, SSO, directory sync, custom deployments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available  
- **Key Metric**:  
  - Total Funding: **$23.925M** (Seed rounds and $20M Series A led by Index Ventures in January 2022)  
  - Annual Revenue (2026 estimate): **$3.5M** (LinkedIn data)  
- **Notable Investors/Partners**: Index Ventures, Y Combinator, Accel  
- **Growth Signals**:  
  - Acquired Hyperquery in July 2024 to expand capabilities  
  - Claims 500,000+ data professionals using the platform (website)  
  - Headcount declined 51.4% YoY to 19 employees (as of 2026) – may reflect strategic restructuring  
  - Expanding globally with employees in 9 countries

## Competitive Advantages
- **AI-native platform**: Deepnote integrates AI deeply into the notebook experience, unlike traditional tools (e.g., Jupyter).  
- **Semantic layer & shared metrics**: Creates a single source of truth for definitions, reducing duplicate work.  
- **Security & compliance**: HIPAA and SOC 2 certified – a strong moat for regulated industries.  
- **Extensibility**: Open standards, API-first, 100+ integrations, and ability to deploy notebooks as APIs.  
- **Collaboration-first**: Built-in commenting, versioning, sharing via links – reduces reliance on CSV exports and screenshots.

## Strategic Focus
- **AI democratization**: Embedding AI copilot and agents to make data work accessible to non-coders.  
- **Enterprise adoption**: Strengthening security, compliance, and deployment options to win larger accounts.  
- **Agent + human workflows**: Positioning as a “data workspace for humans and agents” – a forward-looking approach to data-team collaboration.

## Why Work Here
- **Culture**: Small, passionate team (~19 people) with a “maker” mentality – everyone expected to be a decision-maker. Values include continuous learning, urgency, transparency, and ownership.  
- **Remote-first**: Fully remote company; team spans US, Europe, and Asia.  
- **Engineering culture**: Emphasis on open communication, low politics, and building tools that “make working with data fun again.”  
- **Notable perks**: Not extensively detailed, but involvement in YC network and backing by top-tier VCs suggests competitive equity and remote-work support.

## Sources
1. [deepnote.com](https://deepnote.com/)  
2. [deepnote.com/join-us](https://deepnote.com/join-us)  
3. [ycombinator.com/companies/deepnote](https://www.ycombinator.com/companies/deepnote)  
4. [linkedin.com/company/deepnote](https://www.linkedin.com/company/deepnote)  
5. [tracxn.com/d/companies/deepnote](https://tracxn.com/d/companies/deepnote/__3Rn8-CvLT7opyDmu31_wfQ8OdyuAYVhEddkBIXGff80)

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