Research Manager

BeyondTrust

About The Position

As a Research Manager, you will drive the evolution of our identity security platform by leading a team of cutting-edge security researchers with robust engineering practices. You'll work at the intersection of security domain expertise and software development, translating novel research findings into production-ready systems that protect our customers from sophisticated identity-based threats. This role offers the opportunity to lead a team while shaping the future of identity security through innovative research, scalable engineering solutions, and thought leadership in the security community.

Requirements

Engineering background with proven experience developing and maintaining production security systems
Strong Python programming skills with experience in large-scale data processing and/or equivalent AI skills
Knowledge of adversarial tactics, techniques, and procedures (TTPs) and corresponding defensive strategies
Experience leading individuals at a high individual contributor level (senior staff/principal).

Nice To Haves

Big data processing experience with Apache Spark, Databricks, or similar distributed computing platforms
Background in security research with published findings or conference presentations
Knowledge of cloud security, containerization, and modern infrastructure technologies
Experience with graph databases and network analysis techniques
Familiarity with machine learning applications in cybersecurity
Track record of speaking at technical conferences or contributing to security research publications
Experience using AI to assist with research

Responsibilities

Lead a team of researchers who identify emerging identity attack vectors and develop novel detection methodologies while also performing your own research.
Design and implement advanced analytics including rule-based systems, behavioral analysis, and machine learning models for threat detection
Expand and optimize our large-scale entitlement graph systems that map privilege escalation paths across customer environments
Develop proactive recommendation engines that identify security misconfigurations before they become attack vectors
Build production-grade security systems with emphasis on scalability, reliability, and performance optimization
Design custom data representations (graphs, time-series, etc.) to support advanced analytical capabilities
Establish engineering best practices including comprehensive unit testing, automation, and CI/CD pipelines
Explore large-scale customer datasets using Spark and Databricks to validate detection hypotheses and uncover new threat patterns
Collaborate with data science teams to integrate machine learning models into production detection systems
Optimize system performance to handle massive data volumes efficiently
Provide technical leadership and mentorship to product and engineering teams
Present research findings at industry conferences and security forums
Publish technical blogs and research papers to establish thought leadership
Collaborate and establish relationships with cross-functional teams to translate research insights into product roadmap priorities