PDQ makes endpoint management software, pairing its cloud-native PDQ Connect with on-prem deployment and inventory tools for Windows and macOS. The stack is unusually polyglot, spanning Elixir, Rust, Python/Django and C# on GCP with Kubernetes, ClickHouse and PostgreSQL, which suggests a modern cloud backend built alongside legacy Windows tooling. Accelerating hiring across sales and support, plus a focus on high-ARR accounts and churn, points to a push into larger customers.
PDQ develops IT management software for system administrators, ranging from solo admins to managed service providers and enterprise IT teams. Its flagship cloud product, PDQ Connect, handles patching, vulnerability management, remote desktop, software deployment and device inventory without requiring a VPN. On-prem customers use PDQ Deploy and Inventory for Windows environments, and the suite also includes SmartDeploy for imaging, ISL Online for remote access and SimpleMDM for Apple devices. Founded in 2001, the privately held company has 201–500 employees and is headquartered in South Salt Lake, Utah.
PDQ runs on GCP with Kubernetes, Docker and Helm, using PostgreSQL, Cloud SQL and ClickHouse for data. Its languages include Elixir, Rust, Python (Django), C# and TypeScript with React, with Prometheus, Grafana and Sentry for monitoring.
Yes. Hiring at PDQ is accelerating across engineering, sales, support, design, marketing and finance. Roles are open in the United States and Romania, mostly at mid and senior levels.
PDQ is building a vulnerability detection backend and adding new vulnerability data sources. It is also rebuilding customer onboarding and tuning database performance and observability for PDQ Connect and SmartDeploy.
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PDQ'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.