Water treatment chemicals and monitoring systems for industrial operations
Solenis manufactures water treatment chemistries, process aids, and monitoring systems for industrial customers across 160 countries. The tech stack is heavily SAP-centric (MM, SD, WM, FI, TMS modules) with Salesforce CRM and Workday for HR, indicating a traditional manufacturing-to-enterprise operating model. Active hiring across 25 countries with sales leading the department mix suggests geographic expansion, while projects around packaging supply-chain optimization, plant trials, and SAP TMS integration point to operational scale challenges common in multi-facility chemical manufacturing.
Notable leadership hires: Customer Service Lead, Site Lead, Packaging Procurement Lead, Director Consumer Brands, Transformation Lead
Solenis is a global provider of water treatment chemicals and monitoring systems operating 78 manufacturing facilities across six continents with approximately 23,000 employees. The company serves industrial customers needing water treatment chemistries, process aids, functional additives, cleaners, disinfectants, and integrated monitoring and delivery systems. Product lines are designed to improve operational efficiency, product quality, asset protection, and environmental compliance. The business is structured around regional manufacturing clusters supported by a centralized SAP backbone (materials management, supply chain, financials), complemented by Salesforce for customer engagement and Workday for workforce management.
Solenis uses SAP (MM, SD, WM, FI, TMS modules), Salesforce CRM, Workday HR, Snowflake, Power BI, Tableau, OneStream, Coupa, and IBM Sterling for supply-chain integration, with Python/pandas for analytics.
Solenis is actively hiring in 25 countries: US, Poland, India, Brazil, Malaysia, Thailand, Singapore, Netherlands, China, Indonesia, Vietnam, Philippines, Australia, New Zealand, Canada, Germany, Egypt, Colombia, Czechia, Saudi Arabia, Romania, Spain, France, Belgium, and Costa Rica.
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Solenis's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.