Mobile threat defense and app protection for devices and applications
Zimperium builds security for mobile apps and devices, with a stack that pairs reverse-engineering tools (IDA Pro, Ghidra, C++) with an ML layer (PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI). Hiring skews toward senior security researchers and engineers, and job posts focus on new iOS detection techniques and countering tampering and evasion. That points to a research-driven product roadmap rather than a sales-led expansion.
Notable leadership hires: Partner Alliances Director
Zimperium is a privately held mobile security company headquartered in Dallas, Texas, founded in 2010 and employing 201–500 people. Its products protect mobile applications and devices against phishing, malware, app vulnerabilities, tampering, device compromise and zero-day attacks, using machine learning for detection. The platform runs on Kubernetes and Docker across AWS, Azure and GCP, with Java, Kotlin and Python services. The company hires across the United States, India, Hungary, Argentina, Romania, France and Mexico.
Zimperium uses Kubernetes, Docker, Java, Kotlin, Python (Django, FastAPI, Flask), PostgreSQL, MongoDB and DynamoDB on AWS, Azure and GCP. It also uses PyTorch, TensorFlow and LangChain for ML, plus IDA Pro and Ghidra for reverse engineering.
Yes. Security is Zimperium's largest hiring area, followed by engineering, and most openings are senior-level. It also hires in support and sales, including a Partner Alliances Director role.
Zimperium hires in the United States, India, Hungary, Argentina, Romania, France and Mexico. Its headquarters are in Dallas, Texas.
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Zimperium'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.