Facilities management platform connecting brands with contractor networks across 330,000+ locations
ServiceChannel operates a facilities management system handling $6B in annual spend across 330,000+ locations in 66 countries. The engineering-heavy hiring mix (17 of 39 open roles) paired with active ML infrastructure work—scalable ML pipelines, churn forecasting, data lifecycle management—suggests the company is moving beyond transactional work-order automation toward predictive analytics and data-driven contractor sourcing. Platform scalability and churn reduction appear as top internal pain points, indicating growth pressure on the core system.
Notable leadership hires: Tech Lead
ServiceChannel is a facilities management platform used by 500 leading global brands—including 5 of the top 5 most profitable U.S. retailers and 4 of the top 10 fastest-growing U.S. restaurant chains—to manage maintenance and repairs across retail, restaurant, healthcare, financial services, logistics, government, and educational verticals. The product connects facility managers with a network of 70,000+ contractors, automating work-order dispatch, vendor sourcing, and compliance. The company is headquartered in Greenville, South Carolina, operates across 201–500 employees, and serves customers in 66 countries with regional hiring in the U.S., India, Italy, and the Netherlands.
ServiceChannel uses Databricks, Snowflake, and the Elastic Stack for data infrastructure; Python and .NET/C# for backend services; React and Angular for frontend; and Azure and AWS for cloud hosting. ML frameworks include TensorFlow, PyTorch, and scikit-learn.
ServiceChannel customers manage 330,000+ locations in 66 countries, processing over $6B in annual spend through its platform and service provider network.
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