Appdome protects mobile applications, APIs, and digital identities against fraud, malware, and account takeovers using automated defenses. The stack reveals a mature mobile security operation: deep native instrumentation (C/C++, Android NDK, JNI, ARM Assembly) paired with modern backend infrastructure (Node.js, Kubernetes, Elasticsearch, AWS). Current hiring is engineering-heavy with mid-level dominance, while active projects span fraud detection, platform scalability, and demand generation — signaling simultaneous focus on product maturation and go-to-market velocity.
Notable leadership hires: Demand Generation Director
Appdome delivers automated mobile app defense and fraud prevention to global enterprises. The product operates across three layers: native mobile instrumentation (iOS and Android), a backend fraud detection engine, and API security infrastructure. The engineering organization is building toward a distributed, scalable platform (Kubernetes, microservices architecture) while the go-to-market function is ramping demand generation and campaign operations. The company is based in Redwood City, California and maintains engineering presence in Israel and the United States.
Mobile: C/C++, Objective-C, Java, Android NDK, JNI, ARM Assembly. Backend: Node.js, Python, MySQL, Redis, Elasticsearch, Docker, Kubernetes, AWS. Frontend: React, Angular, TypeScript, RxJS. Security tools: Burp Suite, Charles, mitmproxy, AWS WAF.
Core priorities: mobile fraud engine, product infrastructure and microservices for scalability, performance improvements, design system maturity, and backend/API features for a globally distributed service.
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Appdome'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.