Senior Security Research Engineer

Exabeam is a global cybersecurity leader that delivers AI-driven security operations. They are seeking a Senior Security Research Engineer to drive R&D efforts by transforming threat research into actionable intelligence for their New Scale Analytics Platform.

Responsibilities:

• Serve as a senior technical contributor for Exabeam Security Research, helping shape direction for detection engineering, behavioral analytics, and threat research
• Lead research into emerging attacker tactics, techniques, procedures (TTPs), and adversary behaviors across enterprise, cloud, identity, and SaaS environments
• Design, develop, validate, and maintain high-fidelity detections, behavioral models, and analytics for the Exabeam platform
• Act as a subject matter expert on the analytics engine, driving improvements to behavioral analytics, model quality, detection coverage, and accuracy
• Develop security content that leverages the full Exabeam platform, including behavioral analytics, UEBA, search, automation, investigation workflows, and detection engineering capabilities
• Continuously evaluate new attack techniques and validate detection efficacy through research, simulation, purple teaming, adversary emulation, and lab testing
• Perform hands-on threat research, malware analysis, incident analysis, detection tuning, and content validation where appropriate
• Collaborate closely with Product Management, Engineering, AI, and Customer Success teams to translate emerging threats into product capabilities and customer value
• Contribute to technical thought leadership through blogs, conference presentations, webinars, whitepapers, and community engagement
• Apply AI and Large Language Models (LLMs) to improve Security Research workflows, detection development, and research productivity
• Identify opportunities to improve researcher productivity through AI-assisted research, detection development, testing, documentation, and content generation
• Develop processes and guardrails for responsible use of AI in research workflows while maintaining detection quality and accuracy
• Partner with Exabeam AI teams to evaluate emerging AI capabilities and incorporate them into research operations
• Improve speed-to-market for new detections through automation, AI-assisted engineering, and repeatable development processes
• Mentor and guide Security Researchers and Detection Engineers through technical reviews, research collaboration, and knowledge sharing
• Help shape research priorities and technical execution plans in partnership with the Security Research Manager and cross-functional stakeholders
• Provide technical coaching and feedback to raise the quality, scalability, and consistency of research outputs and detection content
• Foster a culture of technical excellence, innovation, collaboration, and continuous learning through influence rather than direct people management
• Balance strategic research initiatives with hands-on execution to ensure timely delivery of high-quality detections, analytics, and product improvements
• Coordinate technical work across Engineering, Product Management, Threat Intelligence, Customer Success, and AI teams to translate research into customer value
• Measure and communicate technical impact through meaningful metrics around detection coverage, quality, innovation, and delivery

Requirements:

• 7+ years of experience in cybersecurity with significant expertise in threat detection, security research, threat intelligence, detection engineering, incident response, or related disciplines
• Experience providing technical leadership, mentoring, or guidance to highly technical engineering or security research teams without requiring direct people-management responsibility
• Deep understanding of modern attacker methodologies including MITRE ATT&CK, identity attacks, endpoint threats, cloud attacks, insider threats, and lateral movement techniques
• Demonstrated experience developing high-quality security detections, behavioral analytics, correlation rules, or detection content for enterprise security products
• Strong understanding of UEBA, SIEM, behavioral analytics, and detection engineering principles
• Experience working with large-scale security telemetry including endpoint, identity, cloud, authentication, network, SaaS, and infrastructure logs
• Hands-on experience writing production-quality code and automation using Python and related scripting languages
• Experience working with APIs, automation frameworks, and modern development workflows
• Strong analytical skills with the ability to evaluate detection quality, reduce false positives, and improve behavioral fidelity
• Excellent written and verbal communication skills with experience presenting technical concepts to both executive and technical audiences
• Proven ability to influence cross-functional partners and contribute to technical strategy through expertise, collaboration, and clear communication
• Hands-on experience with the Exabeam platform and a deep understanding of the BEAM analytics engine
• Experience building behavioral models, machine learning features, or advanced detection logic
• Practical experience leveraging Generative AI, LLMs, agentic workflows, or AI-assisted development to improve engineering productivity and research effectiveness
• Experience with cloud platforms including AWS, Azure, and Google Cloud Platform
• Knowledge of identity providers such as Microsoft Entra ID, Okta, Active Directory, and hybrid identity environments
• Experience with Elasticsearch, SQL, Splunk, Kusto, or similar search and analytics technologies
• Familiarity with CI/CD, automated testing, and content validation pipelines
• Experience with malware analysis, reverse engineering, digital forensics, or incident response
• Previous experience contributing to open-source security projects, research publications, conference presentations, or industry working groups