Professional Services Engineer

Join our dynamic team as a Professional Services Engineer, where you will work closely with clients to understand their technical requirements, diagnose issues, and provide effective solutions. You will be responsible for the implementation, configuration, and integration of our product, as well as providing training and support to clients. This remote-friendly position offers flexible time off, 100% paid health benefits for you and your family, and potential fast-tracked career advancement opportunities.

• Implement and configure Cyberhaven’s solution within clients’ existing environments, ensuring seamless integration and successful deployment.
• Collaborate with clients to understand their technical requirements, diagnose issues, and create customized dataset and policy solutions.
• Deliver technical training to end users, empowering them with the necessary knowledge and skills to maximize the utilization of Cyberhaven.

• Previous experience with other DLP solutions such as Forcepoint, Symantec, McAfee DLP, Fortra (Digital Guardian), Trend Micro, Check Point, Next DLP, or Proofpoint
• Solid understanding of system architecture, network protocols, and Google Cloud Platform
• Software debugging skills
• Knowledge of system software design (services, drivers, agents)
• Proven track record of delivering complex technical solutions, preferably in a Professional Services or Consulting role, specifically with endpoint security products
• Deep technical background, with hands-on experience in supporting and troubleshooting SaaS-based security and/or endpoint agent technologies
• 3+ years of Solutions Engineer, Delivery Manager, or Professional Services with Endpoint Security experience required in the Cybersecurity and DLP Space:
• Project Management: Ability to manage and deliver against strict timelines, requiring constant prioritization and mitigation strategy-building
• Excellent written and verbal communication skills, allowing one to easily convey technical concepts to diverse stakeholders and build relationships cross-functionally
• Knowledge of web technologies, APIs, and data integration techniques
• Understanding of data classification methodologies and techniques to effectively identify sensitive data types and define appropriate DLP policies
• Education and Certifications: Bachelor's degree in Computer Science or Engineering, or equivalent advanced industry certifications, or 3+ years of experience in a similar role
• Practical knowledge of the MacOS (e.g., MDM, app management, basic terminal skills) and Windows (SCCM, GPO, Intune, registry configuration, understanding PowerShell scripts, etc.) ecosystems
• Experience with AI Agent use and creation (Claude Code, Glean, Monday etc)