We are looking for our first Cybersecurity Analyst Manager to review AI executed autonomous incident investigations, audit for accuracy, and utilize knowledge of security workflows to train our multi-agent platform. Beyond incident investigation, you will collaboratively work with our engineering team to design and build our AI platform. Initially, you will work as an individual contributor, focusing on investigating cybersecurity incidents, analyzing vulnerabilities, and training our AI systems to autonomously respond to threats. As our platform evolves, you will have the opportunity to build and manage a high-performing distributed cybersecurity team.
Key Responsibilities:
Lead investigations into cybersecurity incidents, analyzing data to identify root causes and recommend remediation strategies.
Collaborate with our development team to train AI algorithms on effective incident response techniques, ensuring continuous improvement of the platform’s capabilities.
Conduct regular threat hunting and audits to identify malicious activity or vulnerabilities and recommend appropriate mitigation strategies.
Plan for future team growth by identifying hiring needs and developing a strategy for recruiting, mentoring, and managing a cybersecurity team.
Keep abreast of the latest cybersecurity trends, threats, and technologies, sharing insights with the team and contributing to ongoing improvement.
Qualifications:
Formal education in cybersecurity or a related field, or an equivalent work experience.
7+ years of experience in cybersecurity, with a focus on incident response and threat analysis.
Broad knowledge base across security use cases, including email, endpoint, cloud, identity or network.
Strong communication skills, with the ability to articulate complex security concepts to both technical and non-technical stakeholders.
Experience writing / auditing SOAR playbooks, and building standardization of SOC workflows is a plus.
Strong understanding and interest of AI/ML applications and Automation in cybersecurity is a plus.
Experience in a startup-like environment or with collaboration with development teams is highly desirable.
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