Exabeam is a global cybersecurity leader that delivers AI-driven security operations. High-integrity data ingestion, powerful analytics, and workflow automation power the industry’s most advanced self-managed and cloud-native security operations platform for threat detection, investigation, and response (TDIR). With a history of leadership in SIEM and UEBA, and a legacy rooted in AI, Exabeam empowers global security teams to combat cyberthreats, mitigate risk, and streamline security operations. Learn more at www.exabeam.com .

Overview

We are looking for a Senior Security Research Engineer who will help drive Exabeam’s R&D efforts by distilling threat research, attacker tactics, techniques, and procedures into actionable intelligence for our New Scale Analytics Platform. This critical role offers the opportunity to join one of the top security operations and analytics providers and contribute to a team whose work continues to have a significant impact on Exabeam’s growth.

Opportunity

Exabeam is redefining how security operations teams detect, investigate, and respond to modern threats through behavioral analytics, AI, and intelligent automation. 

Reporting to the Security Research Manager, this is a senior individual contributor role focused on hands-on technical leadership, deep threat research, detection engineering, behavioral analytics, and cross-functional influence. You will remain an active practitioner while helping set technical direction, mentor peers, and advance Exabeam’s detection capabilities.

The ideal candidate is equally comfortable reverse engineering attacker tradecraft, designing scalable detection logic, guiding complex technical decisions, mentoring researchers and engineers, and leveraging AI technologies to accelerate research, content development, and product innovation.

Responsibilities

Technical Leadership

• 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.

AI & Detection Innovation

• 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.

Technical Influence & Mentorship

• 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.

Qualifications

Required

• 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.

Preferred

• 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.

Nice to Have

• Experience developing machine learning or behavioral analytics for cybersecurity applications.

• Familiarity with AI safety, evaluation, or prompt engineering techniques.

• Security certifications such as CISSP, GREM, GCIH, GCFA, GPEN, OSCP, OSCE, GXPN, or equivalent.

• Experience working in a commercial cybersecurity product organization.

What Success Looks Like

• Consistently delivers high-quality detections, behavioral analytics, and threat research outcomes while influencing technical direction as a senior individual contributor.

• Improves detection coverage while reducing false positives across the Exabeam platform

• Accelerates research and content development through effective adoption of AI-assisted workflows.

• Builds strong partnerships across Product, Engineering, AI, and Customer Success.

• Contributes to Exabeam Security Research’s external credibility through technical innovation, practical research contributions, and thought leadership.

• Creates an environment where researchers grow technically through mentorship, collaboration, and shared standards while delivering measurable value to customers.

Exabeam Total Rewards offers you:  
(Subject to applicate eligibility requirements)

• Extensive medical, dental and vision coverage to meet your healthcare needs and employer Health Savings Account contribution to help pay for health expenses now or in the future

• Generous 401(k) employer match to help you save for your future

• Paid Time off including “take what you need” flex time, volunteer day of service, your birthday, parental leave, holidays and more

• Widespread learning center for career planning and skill development to grow your career

• A culture of passionate, diverse, committed professionals

Salary:      
The annual starting salary for this position is between $162,000-$172,000 annually depending on experience and other qualifications of the successful candidate.

Bring your Whole Self to Work!