Security Researcher

A high-momentum AI Data Intelligence startup that has redefined the boundaries of large-scale web data acquisition.

Backed by top-tier Venture Capital and serving a prestigious global client base including some of the world’s most recognizable Fortune 500 brands the company leverages sophisticated AI to transform fragmented, unstructured web data into actionable business intelligence in real-time.

Operating from a central Tel Aviv tech hub with a hybrid work model, the company offers an elite R&D environment where cutting-edge research meets massive commercial scale.

The Role & Responsibilities

• Advanced Web Research: Investigating sophisticated web architectures and complex data environments to ensure seamless data flow for the company's core AI engines.
• Reverse Engineering: Analyzing obfuscated scripts, complex protocols, and browser-side logic to maintain the platform's technological edge.
• Browser-Level Innovation: Leveraging deep knowledge of browser internals to develop creative solutions for interacting with modern, dynamic web environments.
• Proof-of-Concept Development: Architecting and coding high-level research tools and extraction logic using JavaScript.
• AI-Data Synergy: Collaborating with Data Science and AI teams to optimize the ingestion of massive, unstructured datasets from across the global web.

Requirements-

• Research Pedigree: Proven professional experience in technical research, with a focus on web or security domains – Mandatory.
• Reverse Engineering Expertise: Strong track record of deconstructing complex web protocols, obfuscated code, or browser behaviors – Mandatory.
• Web Ecosystem Mastery: Deep understanding of the modern web stack, including DOM, network protocols, and browser internals – Mandatory.
• JavaScript Fluency: High-level coding proficiency in JavaScript for research and automation – Mandatory.
• Analytical Mindset: A "hacker" approach to problem-solving—the ability to look at a technical barrier and find an unconventional way around it.
• Collaborative Spirit: Experience working in high-caliber R&D teams where knowledge sharing is key to overcoming technical obstacles.