Senior Security Researcher analyzing and mitigating complex web threats. Leading automation of security research workflows with AI at Menlo Security.
Responsibilities
Proactively track and research emerging online threats across the web, dark web, and attacker infrastructure to identify trends and patterns.
Build AI-driven and agentic workflows to automate repetitive research tasks such as threat hunting, IOC extraction, artifact enrichment, and pattern recognition
Conduct an in-depth research the telemetry for patterns to build or enhance the existing products
Develop advanced detection and prevention logic embedded in our browser isolation engine and threat analysis backend pipelines
Lead design and development of data pipelines and infrastructure for collecting, analyzing, and classifying high-volume web traffic
Partner closely with engineering, product, and threat intelligence teams to ship research-powered features into production
Represent Menlo Security at industry conferences and in public research disclosures
Requirements
MS or PhD in Computer Science, Security, or related field (or equivalent industry experience)
Minimum 4+ years in a security research or applied security engineering role
Passionate researcher with a track record of finding, analyzing, and mitigating complex web threats
Strong background in browser internals, web application security and detection of real-time threats (e.g., phishing, malicious redirects, credential harvesting, exploit kits)
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