Stay Wanderful
Stay Wanderful is a multi-sided platform with a new take on loyalty. We connect consumers, hotels, and merchants, driving business growth for our partners through instantly gratifying, personalized rewards via machine learning
We have a small engineering team, where you'll have a huge impact on the business with your work, and the opportunity to work on all parts of the stack, from web systems, to streaming analytics products, as well as real-time machine learning modules.
The business model produces some of the most valuable data for analysis and machine learning in the consumer travel space. Most of it is still untapped
We're pre-series A with the revenue and margins of a Series A company. We've already shown market traction through hundreds of paying B2B customers and international partners
Our engineering team operates on one week cycles. Each cycle begins with a retrospective on the last sprint, to see what we did well and and where we can improve, followed by a demo where each engineer can show off the work they've completed. Then we'll conduct a sprint planning session, we're we'll discuss the details of the tickets, provide business context, and address any outstanding clarifications. Each sprint will typically have a major business goal, where the team can work collaboratively to deliver solutions. Each pull request is reviewed thoroughly, where we're expected to give feedback and receive feedback on approaches and style.
We have a few major focuses this year: * A dynamic, configurable templating system with an embedded online machine learning model to optimize design and content * Machine learning algorithms and infrastructure to personalize rewards based on our travel consumer data. We'll also work on the micro-service inference module to serve an arbitrary algorithm's results in realtime, as well as build a real-time consumer data repository. * An analytics platform for clients to see the performance of everything above, in any dimension they want
A dynamic, configurable templating system with an embedded online machine learning model to optimize design and content
Machine learning algorithms and infrastructure to personalize rewards based on our travel consumer data. We'll also work on the micro-service inference module to serve an arbitrary algorithm's results in realtime, as well as build a real-time consumer data repository.
An analytics platform for clients to see the performance of everything above, in any dimension they want
We're a small team where everyone gets along. We work together and have fun together. We operate on continuous feedback, and thrive on teamwork and open communication.
Interested in this company?
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