CB Insights

New York
101 - 250 Employees
26 - 50 Engineers
$10M - $25M Funding
Series A

CB Insights has built a tech market intelligence platform that analyzes millions of data points on venture capital, startups, patents, partnerships and news media to predict technology trends.

We believe that technology and probability are better than talking heads and punditry when it comes to helping our clients predict their next market, their next acquisition, their next investment, their next customer or their competitor's next move.

We were initially backed by the National Science Foundation and bootstrapped to millions in revenue before taking venture capital financing in late 2015.

Cisco, Salesforce, Castrol, Gartner, as well as top-tier VCs including, NEA, Upfront Ventures, RRE, and FirstMark Capital rely on CB Insights to make decisions based on data, not decibels.

CB Insights photo 1 CB Insights photo 2 CB Insights photo 3 CB Insights photo 4

Why join us?
  • Great traction — We are growing by 100%+ per year and run the tech industry's most popular newsletter with over 160,000 subscribers (and adding 1,200 new subs per week). We have lots of really smart customers fired up about our product and our vision. We were also cited by the media 1500+ times last year, including being named 1 of the 15 enterprise companies to watch in NYC. Finally, we are #560 on the Inc 5000.

  • Great funding — We were revenue-funded for our first 5.75 years (translation: we're a real company). We raised $10 million in VC in late 2015.

  • Strong culture - We care a lot about building a great place to work. We offer breakfast, snacks, a lunch stipend, regular team building events and weekly yoga and meditation sessions.


Engineering at CB Insights
Technical Challenges

Our challenges, like our team, are diverse. A few of the questions we’ve had to answer:

How can we use natural language processing and machine learning to transform our firehose of raw data into coherent information? How can we detect signals in our data to discover important trends, and how do we determine which trends are relevant for individual users? How do we design a user interface that is simple, intuitive yet also allows our users to leverage the full value of our data and platform?

Now imagine solving these questions concurrently, while serving a broad and diverse customer base and scaling the system, data, and team. If that excites you, and you have a love of learning and the craft of software engineering, read on.

Tech stack
Python
Go
Javascript
React
Redux

Working at CB Insights
401(k) Contribution
Free Food
Team Activities
Health Insurance
Transportation
Other

Weekly Yoga/Meditation + Yearly Education Stipend


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