Cybersecurity Researcher

Job Description

What Makes You a Great Fit

• 3+ years of hands-on experience in security research, mobile security, browser research, fraud research, detection research, reverse engineering, or a related technical role.
• Experience with web browsers, mobile browsers, WebViews, browser APIs, JavaScript runtime behavior, browser automation, fingerprinting, client-side web security, and low-level browser technologies.
• Familiarity with the architecture or codebase of modern open-source browsers and rendering engines, such as Chromium, WebKit, Blink, or Gecko, with the ability to reason about how browser internals can expose new security and fraud signals.
• Experience with native Android and/or iOS applications, mobile OS behavior, app instrumentation, emulators, device spoofing, mobile automation, mobile security, and low-level platform APIs.
• Attacker mindset and practical understanding of how malicious actors attempt to bypass detection using automation, AI agents, spoofing, and anti-detection techniques.
• Ability to identify subtle technical signals and turn them into practical detection or data collection opportunities.
• Experience designing technical experiments and validating research hypotheses.
• Experience with one or more SDK development languages and environments, such as TypeScript/JavaScript for web, Kotlin/Java for Android, or Swift/Objective-C for iOS, with the ability to understand implementation constraints and collaborate effectively with SDK engineering teams.
• Scripting ability, preferably in Python, for building research tools, automation, and analysis workflows.
• Ability to work independently on ambiguous problems and communicate findings clearly to engineering, product, and research stakeholders.
  

Advantages

• Experience with Web SDKs, Mobile SDKs, client-side telemetry, device intelligence, behavioral signals, AI agent detection, or fraud detection products.
• Experience researching bots, credential stuffing, scraping, headless browsers, AI-assisted automation, app cloning, SDK abuse, phishing kits, malware, or
• anti-detection frameworks.
• Experience with reverse engineering Android or iOS applications.
• Familiarity with detection quality measurement, feature evaluation, false-positive analysis, production monitoring, or machine learning concepts.
• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field— or equivalent hands-on experience.
  

Your Day-to-day In This Position

• Research browser, WebView, Android, and iOS environments from an attacker’s perspective.
• Identify new security signals, behavioral indicators, and technical patterns that can improve fraud, abuse, automation, and AI agent detection.
• Investigate attacker techniques involving bots, browser automation, AI agents, emulators, device spoofing, hooking, instrumentation, remote access tools, and
• anti-detection methods.
• Design and run experiments to compare legitimate, automated, AI-assisted, and manipulated environments.
• Evaluate proposed signals for reliability, stability, spoofability, privacy sensitivity, performance impact, and production feasibility.
• Translate research findings into clear SDK feature requirements for web and mobile data collection.
• Build internal tools, scripts, and lab environments to support signal research and validation.
• Collaborate with SDK, engineering, product, and detection teams to move research from hypothesis to production.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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