The Principal BI Analyst will lead enterprise-level analyses, build analytical models and dashboards, and provide insights to drive strategic decisions.

The Risk Manager drives customer retention by identifying and mitigating risks through cross-functional collaboration and data analysis, improving customer interactions and outcomes.

The Solutions Engineer demonstrates and sells CyberArk's identity security solutions to Enterprise customers, acting as a technical advisor and guiding evaluations and POCs.

The role involves producing and editing high-quality technical documentation for CyberArk's Identity Governance solutions, collaborating with teams, and mentoring junior writers.

The SOC Engineer will lead projects in Splunk, automate security processes with Python, implement detection rules, and manage incident responses across global teams.

The Sales Development Representative will prospect new business opportunities, engage with prospects, and collaborate with the closing sales team to meet sales targets.

The Solutions Engineer supports Corporate Customers, providing technical pre-sales support, delivering workshops, and developing relationships to facilitate CyberArk adoption while ensuring customer satisfaction.

Lead CyberArk's global IT infrastructure initiatives, focusing on cloud and on-prem environments, while managing a technical team and ensuring security and scalability.

Manage AWS infrastructure, automate cloud deployments, ensure availability and recoverability, and develop tools for reliability within a SaaS environment.

The role involves leading incident response investigations, performing digital forensics, malware analysis, and developing incident response initiatives.

The Senior Site Reliability Engineer will manage AWS infrastructure, ensure SaaS reliability, automate platforms, and respond to production incidents.

The role involves demonstrating CyberArk solutions, managing POC evaluations, and building relationships with customers during the sales cycle. Requires advanced knowledge of DevOps and strong presentation skills.

The Senior Data Engineer will design and build scalable data platforms, manage data pipelines, and collaborate with teams to improve business outcomes using data and AI solutions.