Front-End Engineer, Deepnote

Salary not provided
React
AWS
Kubernetes
TypeScript
GraphQL
Redis
Node.js
Figma
Webflow
Junior, Mid and Senior level
Remote in US
Deepnote

Data science notebook

Open for applications

Deepnote

Data science notebook

21-100 employees

B2BBig dataAnalyticsBusiness IntelligenceSaaS

Open for applications

Salary not provided
React
AWS
Kubernetes
TypeScript
GraphQL
Redis
Node.js
Figma
Webflow
Junior, Mid and Senior level
Remote in US

21-100 employees

B2BBig dataAnalyticsBusiness IntelligenceSaaS

Company mission

To build the best data science platform for teams.

Role

Who you are

  • You are open to step up from Front-end role to Full-stack, touching parts of our backend and database
  • 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

  • We're searching for a talented Front-End Engineer to accelerate our product development
  • You'll tackle some of the most complex challenges in the field
  • While expertise in everything isn’t required, we do expect you to learn quickly and take the lead
  • Your responsibilities will range from writing beautiful and performant code to gathering user feedback, all the way to designing entire workflows
  • You'll become an expert in data science tooling and we'll trust you to make the call which technologies we use and which features we implement
  • Deepnote helps data teams to solve the hardest problems
  • Achieving this requires more than just advanced algorithms, larger datasets, and greater computing power
  • We need poweful tools that enable exploration, reasoning, and collaboration—tools that don’t yet exist
  • We need to invent them first
  • Build new features and new landing pages
  • Expand your role from Front-End to Full-Stack by diving into our backend and database
  • Enhance rendering performance using virtualization and memoized components
  • Explore data science tools, shaping opinions that drive our product forward
  • Support our community of data scientists and developers, helping them succeed 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 seen quick ascent following immediate backing from top investors and has speedily become the de facto standard for shared data science notebooks, with companies like ByteDance and Discord using its platform. Recent funding will see the company build out its product whilst expanding foothold in the data science community.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (2 rounds)

Jan 2022

$20m

SERIES A

Feb 2020

$3.8m

SEED

Total funding: $23.8m

Company benefits

  • 25 days of PTO + sick days
  • Medical benefits and 401(k)
  • Kick-start bonus to get you set up
  • Unlimited learning and professional development budget
  • Semi-annual company retreats
  • Budget for travel to our offices in Prague / San Francisco

Company HQ

Chinatown, San Francisco, CA

Leadership

Filip Stollár

(Head of Design)

Previously spent time at Improbable as a Software Engineer. Intern experience as a Software Engineer also includes at Skyscanner and Overleaf.

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

Previous experience as a Software Engineer for Palantir Technologies and Two Sigma. Spent time as a Site Reliability Engineer for Google.

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