Digital Monitoring Products builds security hardware and software in Springfield, MO, with a stack spanning embedded C/C++ on NXP, Silicon Labs and Renesas silicon alongside Ruby on Rails, .NET, Go and React for dealer-facing software. Hiring is accelerating and sales-led, with leadership openings in national accounts, production and IT, while IT projects center on virtualization, cloud migration and zero-downtime infrastructure.
Notable leadership hires: National Account Director, Production Director, Information Technology Director
Digital Monitoring Products (DMP) is a privately held, family-owned company founded in 1975 and headquartered in Springfield, MO. It designs, manufactures and distributes security products covering burglary, fire, access control and video. Its product lines include intrusion control panels, wireless and cellular communicators, central station fire alarm panels, and high-security intrusion detection systems for government, banking and retail sites. DMP sells through security dealers and professionals, employs 201–500 people, and hires in the United States and Canada.
DMP uses embedded C and C++ on NXP, Silicon Labs and Renesas chips, Altium Designer for hardware, plus Ruby on Rails, .NET Core, Go, Node.js, React, SQL Server, MySQL, VMware and Red Hat Enterprise Linux.
Yes, hiring is accelerating across the United States and Canada, led by sales and engineering, with leadership openings including National Account Director, Production Director and IT Director.
DMP is headquartered in Springfield, MO, where it designs, manufactures and distributes its security products. The company was founded in 1975 and has 201–500 employees.
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Digital Monitoring Products'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.
