As a Forward Deployed Engineer, you'll work closely with customers to deploy and validate Cyberhaven's CI stack, troubleshoot issues, and enhance product functionality while collaborating across various teams.

The Technical Support Engineer L1/L2 role involves resolving customer issues with Cyberhaven's AI Data Security platform, collaborating with engineers, and creating support documentation.

The Senior Business Systems Analyst will optimize GTM systems, focusing on Salesforce, ensuring data quality and user experience for Sales, Marketing, and Customer Success teams. Responsibilities include managing system access, troubleshooting, and collaborating on process improvements.

Design and maintain cloud infrastructure, implement automation pipelines, improve infrastructure reliability, and enhance developer experience.

Lead platform architecture and automation for cloud-native infrastructure. Define CI/CD and IaC standards (GitHub Actions, Terraform, ArgoCD), manage multi-cloud (GCP/GKE, AWS, Azure), establish SLOs/SLIs and incident practices, mentor engineers, and participate in a follow-the-sun on-call rotation to ensure scalable, reliable developer experience.

Lead global SRE and infrastructure teams to ensure reliability, scalability, and cost-efficiency of production and developer platforms. Define cloud and Kubernetes architecture, IaC, CI/CD, SLOs/SLIs, incident management, and cloud cost optimization while partnering with Security, Product, Finance, and Engineering.

As a Mid Market Account Executive, you will manage sales processes, build client relationships, and grow revenue by prospecting and closing deals in the cybersecurity sector.

As a Backend Developer, you'll design and optimize large-scale systems and implement security products while addressing technical challenges with a focus on scalability and performance.

As the Enterprise Solutions Engineer, you will be responsible for supporting Enterprise Sales in pre-sales activities, managing technical evaluations, and fostering relationships with partners. You'll act as a technical leader in an emerging market for data protection solutions.

Design and optimize large-scale systems and operate AI prototypes. Focus on backend development using modern microservices and handle large datasets with performance analysis.

Lead and scale a high-performing engineering team for a cybersecurity product, driving system architecture, strategy, and technical execution.

As a Software Engineer, you will design scalable solutions for data security, working with modern microservices, cloud platforms, and integrating large-scale data from SaaS applications.

The QA Engineer will perform regression and exploratory testing, document test plans, find bugs, and participate in product management discussions to ensure product quality and customer experience.

The Staff Accountant will manage month-end close processes, support Accounts Receivable and Accounts Payable, assist with technical accounting, aid in audits, and drive automation and process enhancements.

Manage and scale marketing operations to drive pipeline growth. Oversee marketing tech stack, execute campaigns, and analyze performance.

Design and maintain a robust browser extension for major browsers, ensuring security and performance while integrating with backend services. Collaborate across teams for feature implementation and compliance with security standards.

Design and maintain cloud infrastructure, implement automation pipelines, improve system reliability, and enhance developer experience for scaling teams.

The Linux Endpoint Engineer will design security software for Linux, optimizing performance and ensuring secure data movement across applications, while collaborating with a global team.

Drive top-of-funnel pipeline by identifying and researching target accounts, engaging prospects via email/phone/social, qualifying inbound/outbound leads, collaborating with Sales and Marketing to refine messaging, and maintaining CRM records to build and nurture early-stage pipeline.

Design and optimize a large-scale, fault-tolerant system handling enterprise graph datasets in real time. Troubleshoot performance, build secure microservices (Go/Python), operationalize and scale AI prototypes to production, and work with Kubernetes, Docker, and Redis.