---
title: 'Senior Full Stack Engineer at Deepnote'
canonical: 'https://feeny.ai/job/senior-full-stack-engineer-deepnote-remote-dptq0yj0wzh7'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Full Stack Engineer at Deepnote

- **Company:** Deepnote
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2024-07-30
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/deepnote/7f49b6e5-9135-4087-83ce-b6de767de479

## Job description

Hey, we are Deepnote! 👋 We help data teams solve the hardest problems. Achieving this requires more than just advanced algorithms, larger datasets, and greater computing power. We need powerful tools that don’t yet exist. We need to invent them first. As the best rated data notebook platform in the world, we are proud to have clients like Coca Cola, SoundCloud, NASA, Gusto, Webflow, Ramp, Harvard University, and hundreds more. As we build out our core team, we're seeking kind, curious and talented individuals ready to grow with us and shape the future of data science. You'll work on some of the most difficult problems in the field - we don't expect you to be an expert on everything, but we do expect you to learn fast and take a lead. You'll be responsible for crafting beautiful and efficient code, gathering user feedback, and designing comprehensive workflows. You'll become a specialist in data science tooling, with the autonomy to decide on the technologies we use and the features we implement.

🚀 Why being a Software Engineer at Deepnote is amazing?

- A Deepnote Engineer is an end-to-end owner of a project, from initiative to planning, delivery, and tracking.
- Full ownership and trust are the daily bread and butter. Engineers at Deepnote help data teams solve the hardest problems by actually dealing with the most challenging engineering issues themselves.
- Every day is a new technical and product challenge that has not been cracked before, and being proactive and creative with solutions is a must-have.

📚 Our Stack

- Typescript, React, GraphQL
- Node.js, PostgreSQL, Redis
- Kubernetes, AWS
- Native use of Cursor, Claude Code or equivalent parallelized agentic coding is an absolute necessity for this role.

🧑‍💻 What You'll Do

- Build new features across the stack — backend logic, APIs, and polished UI components.
- Design and iterate on AI-powered features (chatbots, copilots, code generation, agents).
- Work with prompts, evaluations, and context handling to deliver reliable AI features.
- Enhance our real-time collaborative notebook experience.
- Think data-first: structure, transform, and route information through the product.
- Support and learn from our vibrant community of data scientists and developers.

👀 Who we’re looking for

- You’re strong in full-stack product engineering (TypeScript, React, NodeJS, GraphQL, PostgreSQL).
- You’ve got hands-on experience with AI/LLM products (chatbots, assistants, or AI-powered features), and you’re comfortable — even excited — when it comes to designing prompts, talking to AI models, and getting the most out of them.
- You understand the basics of how LLMs work: tokenization, memory/context limits, and the trade-offs between cost, latency, and quality.
- You have a data-oriented mindset — thinking naturally about how information flows through a product — and you know how to make that thinking practical.
- Most importantly: you’re the kind of engineer who learns fast, ships fast, understands urgency, and stands fully behind the work you deliver.

💸 Perks and benefits

- Very competitive compensation package. 💵
- Equity options in early-stage venture ready to scale. 🚀
- A team of the smartest and kindest people you’ve ever met. 🧠
- 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. 💰
- Paid lunches, snacks, and drinks as an office benefit. 🌯

Look at all we have to offer. If you think this role is made for you, shoot us your resume!

## 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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