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WHO WE ARE
SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue.
Founded in 2015, SQUIRE is trusted by more than 30,000 barbers across 5,000+ shops in more than a thousand cities worldwide. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships, SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs.
For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store.
SUMMARY:
The Data & Machine Learning Engineer plays a critical role on SQUIRE's newly formed Revenue Intelligence team, building ML-driven features that directly and measurably increase client revenue.
This role combines deep analytical expertise with hands-on engineering to surface revenue opportunities within SQUIRE's appointment, behavioral, and transactional data, and translate them into deployed, production-grade models. Responsibilities include demand forecasting, dynamic pricing, churn and rebooking modeling, experimentation design, and partnering with Product and Engineering to determine where ML can drive the greatest business impact.
REPORTS TO:
Director of Engineering