Open to all applicants globally!
Are you interested in distributed systems or big data? RetailNext is looking for engineers to help build our cloud analytics system. We pull in and process data from thousands of brick and mortar stores to help our customers better understand and serve their customers.
We’re looking for engineers with experience in distributed systems or data processing at scale. We write code in Go and use tools like Cassandra, Redis, GRPC and MapReduce. We don’t expect you to be an expert in everything we do, but you should have a strong background in some plus an interest in learning the rest. The team is growing fast and there will be leadership opportunities for interested and qualified candidates.
We’ve built an environment where you can focus on big problems. Low on meetings and overhead. We are a community of makers and we want people with the same mindset. Focused on building great solutions to the problems our customers face.
Who you are:
RetailNext is the worldwide market leader and expert in retail analytics for brick-and-mortar retail, delivering real-time analytics that enable retailers and manufacturers to collect, analyze, and visualize in-store data. The patent-pending solution uses best-in-class video analytics, Wi-Fi detection, on-shelf sensors, and data from point-of-sale systems and other sources to automatically inform retailers about how people engage with their stores. The highly scalable RetailNext platform easily integrates with promotional calendars, staffing systems, and even weather services to analyze how internal and external factors impact customer shopping patterns – providing retailers the ability to identify opportunities for growth, execute changes, and measure success.
RetailNext measures more than one billion shopping trips per year by collecting data from nearly 100,000 sensors in retail stores and analyzing trillions of data points annually. Headquartered in San Jose, CA, RetailNext is a growing global brand operating in more than 40 countries.
Apply here: http://bit.ly/2VnWWzo
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