Jobs at Cyberhaven

• Build and evolve a state-of-the-art web management console that sits at the core of our product
• Build complex, dynamic data visualizations that handle large, real-time datasets

• Support the Enterprise Sales teams with opportunities in a pre-sales capacity from qualification through production hand-off. Generally, these accounts have more than 2,500 employees.
• Learn, create, and deliver compelling messaging and demonstrations of products and solutions that differentiate from competitors or legacy solutions.

• Establish professional productive relationships with new and existing assigned accounts.
• Qualify, manage and support leads from marketing campaigns and sales opportunities, and progress opportunities through the Cyberhaven sales process.

• Own and improve CI/CD pipelines using GitHub Actions, ArgoCD, and Terraform to enable reliable, automated, and efficient software delivery.
• Design, build, and scale cloud infrastructure on Google Cloud Platform (GCP), leveraging Kubernetes (GKE), Terraform, and managed cloud services.

• Lead, coach, and develop a team of Data Protection Analysts in the Americas, setting clear goals, giving regular feedback, and building career paths
• Recruit, hire, and onboard analysts, and build the team structure, processes, and capacity plans needed to scale with customer growth

• Design, build, and evolve scalable distributed backend systems and high-throughput data processing pipelines.
• Develop reliable, high-performance services with a strong focus on concurrency, efficiency, and fault tolerance.

• Accelerate technical readiness through onboarding, certifications, ongoing technical development, and product-release enablement.
• Strengthen technical execution across pre-sales and post-sales, including discovery, demos, POCs, and architecture conversations, and reinforce consistent use of Cyberhaven’s value-selling methodology.

• Develop and lead the product strategy and vision for Cyberhaven’s endpoint sensor capabilities.
• Collaborate with cross-functional teams to design, build, and launch endpoint capabilities that answer key data detection and response use cases.

• Support the Enterprise Sales teams with opportunities in a pre-sales capacity from qualification through production hand-off. Generally, these accounts have more than 2,500 employees.
• Learn, create, and deliver compelling messaging and demonstrations of products and solutions that differentiate from competitors or legacy solutions, including how the platform secures data and AI use across the enterprise.

• Establish professional productive relationships with new and existing assigned accounts.
• Qualify, manage and support leads from marketing campaigns and sales opportunities, and progress opportunities through the Cyberhaven sales process.

• Take charge of the implementation and configuration process, ensuring the seamless integration and successful deployment of Cyberhaven’s solution within clients’ existing environments.
• Foster close collaboration with clients to gain a deep understanding of their technical requirements, diagnose issues, and create customized dataset and policy solutions.

• Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents.
• Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data.

• You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents.
• You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data.

• Own the technical relationship

Act as the technical owner of assigned accounts, with end-to-end knowledge of each customer's architecture, deployment, configuration, policies, and integrations.
Partner with customers and our Customer Experience teams through onboarding and rollout, including agent deployment strategy, policy design, and phased adoption plans.
Build and maintain strong relationships with stakeholders across your book of business. Manage expectations and ensure stakeholder satisfaction.
Run regular check-ins and business reviews that cover technical health, adoption, risk, and goals. Raise emerging concerns before they escalate.

• Identify and research target accounts and key stakeholders within innovative organizations
• Engage prospective customers through thoughtful, strategic outreach via email, phone, and social channels

• Own the end-to-end product design experience across Flow, HDS, ADS, and DSPM from the analyst’s daily workflow to how the platform holds together as one product rather than three.
• Define the next-generation experience vision for the platform, including how humans and AI agents work together inside it: agent-assisted investigation, human-in-the-loop decisions, explainability, and the interaction patterns that let a security professional trust and override automated work.

• Design, extend, and optimize large-scale, highly scalable, fault-tolerant backend systems processing billions of events from hundreds of thousands of endpoints in real time, with sub-second latency requirements.
• Build security capabilities that protect sensitive customer data as it flows into and out of LL...

• Act as a trusted advisor and thought partner to engineering leadership, helping translate strategic priorities into clear execution plans, success criteria, and operating mechanisms across the org
• Own the engineering leadership operating cadence, including staff meetings, monthly and quarterly business reviews, org planning, and leadership offsites, setting agendas, preparing materials, and driving follow-through on decisions and action items

• Own end-to-end planning, execution, and coordination across Cyberhaven's most complex, multi-team, cross-organizational programs, partnering directly with engineering and product leadership
• Set the strategy for how Cyberhaven improves predictability in its release model, including how scope changes, readiness risks, and cross-team dependencies are tracked and escalated

• Serve as a subject matter expert on data protection security issues, understand external DLP market trends, and incorporate these insights to illustrate realized value for our customers
• Analyze Cyberhaven’s Data Detection and Response platform event data to improve policies and incidents/alerts and bring focus to areas where data loss risk may exist