Research Manager (Cybersecurity)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Research Manager (Cybersecurity): Leading a team of security researchers to evolve an identity security platform with an accent on threat detection, behavioral analysis, and scalable engineering. Focus on translating novel research into production-ready systems and optimizing large-scale entitlement graph systems.
Location: Remote (Canada or United States)
Company
is a global identity security leader protecting Paths to Privilege through a cybersecurity SaaS portfolio.
What you will do
- Lead a team of researchers to identify emerging identity attack vectors and develop novel detection methodologies.
- Design and implement advanced analytics, including rule-based systems, behavioral analysis, and ML models.
- Expand and optimize large-scale entitlement graph systems to map privilege escalation paths.
- Build production-grade security systems with a focus on scalability, reliability, and performance optimization.
- Analyze large-scale customer datasets using Spark and Databricks to validate threat hypotheses.
- Provide technical leadership, mentorship, and share research findings at industry conferences and via technical blogs.
Requirements
- Engineering background with proven experience developing and maintaining production security systems.
- Strong Python programming skills for large-scale data processing or equivalent AI skills.
- Deep knowledge of adversarial tactics, techniques, and procedures (TTPs) and corresponding defensive strategies.
- Experience leading individuals at a high individual contributor level (senior staff/principal).
- Must be based in Canada or the United States.
Nice to have
- Experience with Big data processing using Apache Spark or Databricks.
- 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 and using AI to assist with research.
Culture & Benefits
- Culture built on flexibility, trust, and continual learning.
- Strong commitment to diversity and inclusion.
- Environment that recognizes growth and individual impact on success.
- Supportive community that encourages professional development.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β