Professional Services Engineer

Overview

Work closely with clients to implement, configure and support Cyberhaven's data security product, diagnosing technical issues and delivering training and advisory services.

What you'll do

• Take charge of the implementation and configuration process, ensuring seamless integration and successful deployment of Cyberhaven's solution within clients' existing environments.
• Foster close collaboration with clients to understand their technical requirements, diagnose issues, and create customized dataset and policy solutions.
• Utilize log file analysis, debugging techniques, and advanced troubleshooting to identify underlying causes of complex technical problems and coordinate effective resolutions with Support, Engineering, and Operations teams.
• Work in close partnership with cross-functional teams, including developers, project managers, and support staff, to deliver high-quality solutions that adhere to timelines.
• Deliver technical training to end users to maximize utilization of Cyberhaven and expedite ROI.
• Serve as a trusted advisor to clients, offering strategic guidance, best practices, and insights to help them derive maximum value from the product.
• Conduct regular progress updates, status meetings, and post-implementation reviews with clients, serving as the internal and external point of contact for client escalations.
• Collaborate with development and support teams, promptly escalating and resolving technical issues or system discrepancies to maintain smooth operations for clients.
• Stay up to date with industry trends, emerging technologies, and advancements in the product offerings, continuously enhancing technical expertise.

What you'll need

• 3+ years of Solutions Engineer, Delivery Manager, or Professional Services experience with Endpoint Security in the Cybersecurity and DLP space.
• Proven track record of delivering complex technical solutions, preferably in a Professional Services or Consulting role, specifically with endpoint security products.
• Understanding of data classification methodologies and techniques to identify sensitive data types and define appropriate DLP policies.
• Ability to manage and deliver against strict timelines, requiring constant prioritization and mitigation strategy-building.
• Deep technical background, with hands-on experience supporting and troubleshooting SaaS-based security and/or endpoint agent technologies.
• Software debugging skills.
• Knowledge of web technologies, APIs, and data integration techniques.
• Solid understanding of system architecture, network protocols, and Google Cloud Platform.
• 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.
• Excellent written and verbal communication skills, allowing you to convey technical concepts to diverse stakeholders and build relationships cross-functionally.
• Knowledge of system software design (services, drivers, agents).
• Bachelor's degree in Computer Science or Engineering, or equivalent advanced industry certifications, or 3+ years of experience in a similar role.

Nice to have

• Previous experience with other DLP solutions such as Forcepoint, Symantec, McAfee DLP, Fortra (Digital Guardian), Trend Micro, Check Point, Next DLP, or Proofpoint.
• Experience with AI Agent use and creation (Claude Code, Glean, Monday, etc.).

Details

• Location: US Remote.
• Candidate location preference: Central or Eastern timezones.