Professional Services Engineer

Role overview Deliver technical implementations and consulting services for customer environments using endpoint security and data loss prevention solutions. The work combines configuration, integration, log analysis, debugging, and customer guidance, from initial requirements through deployment and ongoing improvement.

Responsibilities - Configure and deploy security software within customer environments, including integrations with existing systems. - Work with customers to understand technical needs and develop suitable data classification and policy configurations. - Investigate complex issues using logs and debugging techniques, coordinating fixes with support, engineering, and operations teams. - Manage delivery timelines, communicate progress and risks, and act as a point of contact for escalations. - Train users and advise customers on practices that help them use the solution effectively. - Conduct follow-up reviews and identify opportunities to improve deployment quality and customer outcomes.

Requirements - At least 3 years in solutions engineering, delivery management, or professional services, with endpoint security and data loss prevention experience. - Experience delivering complex technical solutions, ideally involving endpoint security products; familiarity with other DLP platforms is relevant. - Understanding of data classification and how to translate it into appropriate protection policies. - Hands-on experience supporting and troubleshooting SaaS security products or endpoint agents, plus software debugging skills. - Knowledge of web technologies, APIs, data integration, system architecture, network protocols, and cloud environments. - Practical experience with macOS and Windows administration, such as device management, app configuration, endpoint policies, or scripting. - Strong project management, communication, and cross-functional collaboration skills. - A computer science or engineering degree, relevant advanced certifications, or at least 3 years of comparable experience.

Nice to have - Experience using or creating AI agents.

Benefits and work setup - Central or Eastern time zone location is preferred.