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Cyberhaven

AI-driven data lineage for insider risk

Professional Services Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$120k - $135k /yr

About the Job

Requirements

  • At least 3 years of experience in Solutions Engineering, Delivery Management, or Professional Services with endpoint security experience in the cybersecurity and data loss prevention space.
  • A proven track record of delivering complex technical solutions, preferably in Professional Services or Consulting, specifically involving endpoint security products.
  • Experience with other data loss prevention solutions such as Forcepoint, Symantec, McAfee DLP, Fortra (Digital Guardian), Trend Micro, Check Point, Next DLP, or Proofpoint.
  • Understanding of data classification methodologies and techniques to identify sensitive data types and define appropriate data loss prevention policies.
  • Ability to manage and deliver against strict timelines, including constant prioritization and mitigation strategy-building.
  • Hands-on experience supporting and troubleshooting software-as-a-service security and/or endpoint agent technologies.
  • Software debugging skills.
  • Knowledge of web technologies, application programming interfaces, and data integration techniques.
  • Understanding of system architecture, network protocols, and Google Cloud Platform.
  • Practical knowledge of macOS, including mobile device management, app management, and basic terminal skills.
  • Practical knowledge of Windows, including System Center Configuration Manager, Group Policy Objects, Intune, registry configuration, and PowerShell scripts.
  • Knowledge of system software design, including services, drivers, and agents.
  • Experience with the use and creation of AI agents, such as Claude Code, Glean, or Monday.
  • A bachelor's degree in Computer Science or Engineering, equivalent advanced industry certifications, or at least 3 years of experience in a similar role.
  • Excellent written and verbal communication skills to convey technical concepts to diverse stakeholders and build cross-functional relationships.

Responsibilities

  • Take charge of implementation and configuration, ensuring seamless integration and successful deployment of Cyberhaven's solution within clients' existing environments.
  • Collaborate closely with clients to understand their technical requirements, diagnose issues, and create customized dataset and policy solutions.
  • Analyze log files, debug, and troubleshoot complex technical problems to identify underlying causes and coordinate resolutions with Support, Engineering, and Operations teams.
  • Partner with developers, project managers, and support staff to deliver high-quality solutions within timelines.
  • Deliver technical training to end users so they can use Cyberhaven effectively to optimize workflows and expedite return on investment.
  • Serve as a trusted advisor to clients, offering strategic guidance, best practices, and insights to help them maximize value from the product.
  • Conduct regular progress updates, status meetings, and post-implementation reviews with clients to assess satisfaction and identify areas for improvement; serve as the internal and external point of contact for client escalations.
  • Collaborate with development and support teams to escalate and resolve technical issues or system discrepancies promptly.
  • Stay current with industry trends, emerging technologies, and product advancements, continually enhancing technical expertise to provide clients with insights and guidance.

Desired Qualifications

  • Experience delivering complex technical solutions in Professional Services or Consulting, specifically with endpoint security products.
  • Previous experience with other data loss prevention solutions such as Forcepoint, Symantec, McAfee DLP, Fortra (Digital Guardian), Trend Micro, Check Point, Next DLP, or Proofpoint.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

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