We've built a predictive analytics platform that answers fundamental questions about why users retain or leave your product. We use machine learning and ensembled predictive models to make user predictions, but we abstract all that away behind an easy to use interface and a very opinionated product that only provides dashboards that tell you why users are leaving, and an API that tells you which users are leaving, when they're estimated to leave, and the reasons why.
Example use-case: Every day, one of our customers sends their high-risk users to their e-mail service provider and sends a personalized winback e-mail, advertising features they haven't used yet. Our predictions were responsible for a 3% MRR increase in their revenue with very little effort from either them or us.
We are looking for our first engineering hire to help us work on building distributed systems, write out our machine learning libraries, and build out our dashboards and visualizations. Not only will you be responsible for writing code, but you will help us establish a culture, a product, an engineering team, and later on, sustainable processes that help a company grow and scale.
Our stack right now is:
- Clojure
- Datomic
- Om
- D3
- Python