Full Stack Engineer, Deepnote

Salary not provided

React

AWS

Kubernetes

TypeScript

GraphQL

Redis

Node.js

Postgres

Figma

Webflow

Junior, Mid and Senior level

Remote from US

Analytics and data science notebook for teams

Job no longer available

Analytics and data science notebook for teams

21-100 employees

B2BBig dataAnalyticsBusiness IntelligenceSaaS

Job no longer available

Salary not provided

React

AWS

Kubernetes

TypeScript

GraphQL

Redis

Node.js

Postgres

Figma

Webflow

Junior, Mid and Senior level

Remote from US

21-100 employees

B2BBig dataAnalyticsBusiness IntelligenceSaaS

Company mission

To help data teams solve the hardest problems.

Job

Company

Role

Who you are

Are you a passionate Full Stack Engineer eager to drive innovative product development?

Desirable

Experience collaborating with designers via Figma
Background in data analysis and/or data science
Familiarity with notebooks, visualizations, BI tools, or data pipelines

What the job involves

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
Build new features across everything from the backend logic to UI components
Enhance our real-time collaborative experience across various application parts
Boost rendering performance using virtualization and memoized components
Dive into data science tools, forming insights that drive product decisions
Support our community of data scientists and developers, helping them thrive with Deepnote

Our take

Deepnote’s founders knew first-hand that data scientists do not work alone, hence conceived the company in 2019, offering a cloud-based notebook that promises to ease collaboration for data science professionals.

The Jupyter Notebook was the most popular of its kind existing in the market, but was weak when it came to collaboration and didn’t seem to facilitate best engineering practices. The founders didn’t get very far after trying to raise these problems with Jupyter, so figured that if they don’t build an alternative, no one else will.

The company has experienced rapid growth, fueled by strong backing from top investors and has quickly become a go-to platform for shared data science notebooks. With major clients like DyteDance and Discord already on board, the company is ready to expand its product and offerings in order to strengthen its presence within the data science community.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jan 2022

$20m

SERIES A

Feb 2020

$3.8m

SEED

Total funding: $23.8m

Company benefits

Equity options in early-stage venture ready to scale
$2000 Kick-start bonus to get you set up
Ramp cards with unlimited budget for learning, self development and work related expenses
Travel budget to meet the team if you're working remotely
25 days of PTO and unlimited sick days
Paid parental/family leave
Free snacks & drinks
Team events, off-sites and incredibly fun company retreats
Flexible working hours
Pet-friendly office
Super cool branded swag

Company HQ

Chinatown, San Francisco, CA

Leadership

Filip Stollár

(Head of Design)

Previously a Software Engineer at Improbable. Prior to that, they were a Software Engineering Intern at Skyscanner and Overleaf.

Jakub Jurovych

(CEO)

Previously co-founded Hack Cambridge and served as CTO for Operam and Unite. Spent 3 months as a Firefox DevTools Engineer for Mozilla.

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