We're building the infrastructure for event-based personalization.
Our API lets you collect, retrieve, and query your users' behavior in realtime. It's the easiest way to integrate behavioral data into your product: we handle the collection of every user's interaction and provide a flexible query layer to react in realtime to their events.
We're looking for full-stack engineers to design and develop our core product. You'll be responsible for tackling and owning hard technical problems end-to-end. You should have experience and interests in some of the following:
* Working extensively in functional languages: we use Haskell, Scala (with scalaz), and Elm
* Building large-scale distributed systems: we run a stream data pipeline on AWS with Kinesis, EC2, DynamoDB, Postgres, S3, and friends
* Data engineering, particularly stream processing and applied ML, e.g. recommender systems for personalization
* Developing and scaling APIs and frontend products
We're an early-stage VC-backed startup with some of the top investors in London and Silicon Valley, including Y Combinator. Because we're a small team, you'll play a central role in everything — from product to company culture. We offer competitive salaries, equity, and bad jokes.
If you're interested, email us at email@example.com with your CV and anything else you think would be important for us to know!