Required Security Research Manager – Cloud – Security Automation (Cortex)
Your Career:
Are you excited about leading a team of researchers who are redefining how cloud security is automated? Do you want to shape the future of an Autonomous SOC by building the next generation of remediation and response content?
As the Cloud Cybersecurity Research Manager, you will lead a team of talented researchers creating autonomous remediation plans for cloud runtime and posture issues. You will drive innovation, mentor researchers, and ensure our automation content is precise, safe, and impactful. This role combines hands-on technical knowledge with strategic leadership, empowering your team to deliver solutions that protect customers at scale.
Your Impact:
Lead and mentor a team of cloud security researchers, fostering technical excellence, innovation, and collaboration
Define research priorities and guide the design of robust, testable, and autonomous remediation plans for cloud runtime and posture issues (CSPM, DSPM, CIEM, CNAPP, IAM, etc.)
Ensure high-quality delivery of SOAR playbooks and automation content aligned with customer needs and company vision
Collaborate with product, engineering, and threat research teams to maximize the impact of remediation content
Establish processes, KPIs, and best practices to continuously improve research output, playbook quality, and operational efficiency
Stay up to date with attacker TTPs, cloud-native threats, and emerging technologies to guide team direction.
Your Career:
Are you excited about leading a team of researchers who are redefining how cloud security is automated? Do you want to shape the future of an Autonomous SOC by building the next generation of remediation and response content?
As the Cloud Cybersecurity Research Manager, you will lead a team of talented researchers creating autonomous remediation plans for cloud runtime and posture issues. You will drive innovation, mentor researchers, and ensure our automation content is precise, safe, and impactful. This role combines hands-on technical knowledge with strategic leadership, empowering your team to deliver solutions that protect customers at scale.
Your Impact:
Lead and mentor a team of cloud security researchers, fostering technical excellence, innovation, and collaboration
Define research priorities and guide the design of robust, testable, and autonomous remediation plans for cloud runtime and posture issues (CSPM, DSPM, CIEM, CNAPP, IAM, etc.)
Ensure high-quality delivery of SOAR playbooks and automation content aligned with customer needs and company vision
Collaborate with product, engineering, and threat research teams to maximize the impact of remediation content
Establish processes, KPIs, and best practices to continuously improve research output, playbook quality, and operational efficiency
Stay up to date with attacker TTPs, cloud-native threats, and emerging technologies to guide team direction.
Requirements:
Proven management experience leading research or security engineering teams, ideally in a cloud or cybersecurity environment
Strong background in cloud security operations and incident response, with expertise in runtime and posture issues
Track record of delivering automation or playbook-driven remediation at scale
Excellent leadership, mentoring, and communication skills, with the ability to translate technical concepts into strategic priorities
Hands-on proficiency in Python and familiarity with SQL or similar query languages
Demonstrated ability to collaborate cross-functionally and manage stakeholders across research, product, and engineering
Advantages:
Experience scaling and managing high-performing technical teams in cybersecurity or cloud domains
Familiarity with big data platforms (e.g., GCP BigQuery, AWS Athena)
Exposure to security tools such as XDR, EDR, CSPM, DSPM, CNAPP, CIEM, and SOAR
Intimate knowledge of attacker methods and cloud-native threats
Experience integrating machine learning or data-driven methodologies into security research.
Proven management experience leading research or security engineering teams, ideally in a cloud or cybersecurity environment
Strong background in cloud security operations and incident response, with expertise in runtime and posture issues
Track record of delivering automation or playbook-driven remediation at scale
Excellent leadership, mentoring, and communication skills, with the ability to translate technical concepts into strategic priorities
Hands-on proficiency in Python and familiarity with SQL or similar query languages
Demonstrated ability to collaborate cross-functionally and manage stakeholders across research, product, and engineering
Advantages:
Experience scaling and managing high-performing technical teams in cybersecurity or cloud domains
Familiarity with big data platforms (e.g., GCP BigQuery, AWS Athena)
Exposure to security tools such as XDR, EDR, CSPM, DSPM, CNAPP, CIEM, and SOAR
Intimate knowledge of attacker methods and cloud-native threats
Experience integrating machine learning or data-driven methodologies into security research.
This position is open to all candidates.