About the Role
In this role, you will serve as the primary consultant for customer onboarding and technical delivery across the company's Endpoint solutions and associated security platforms. Acting as a trusted advisor, you will guide customers on security best practices, platform management, and long-term success. Your responsibilities will include the end-to-end delivery of complex deployments—such as self-hosted Kubernetes environments and Prompt Security implementations—bringing deep technical expertise across endpoint security, DevSecOps, cloud, and AI security.
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What Will You Do?
Primary responsibilities include:
- Act as the primary consultant for customer onboarding activities related to the company's Endpoint solutions, serving as a trusted advisor on ongoing security best practices, platform management, and product usage, while designing and implementing security architectures that integrate endpoint security, DevSecOps workflows, and cloud environments.
- Deploy and configure Prompt Security across enterprise scenarios—such as employee AI tool access, developer AI workflows, home-grown AI applications, and browser-based controls via enterprise MDM—while advising customers on AI governance, data protection, policy enforcement, and risks like prompt injection and shadow AI usage.
- Integrate the company's capabilities into CI/CD pipelines and developer workflows to support shift-left security practices, and assist customers in building automated detection, response, and remediation workflows, contributing to automation frameworks, detection engineering, and internal tooling.
- Own end-to-end delivery of self-hosted, customer-managed Kubernetes deployments—focusing on cluster-level installation, pod-level troubleshooting, and production readiness validation—while advising customers on enterprise-grade deployment topology, including high availability, disaster recovery, and cluster health monitoring.
- Implement GPU-backed self-hosted deployments, providing capacity planning and provisioning guidance for AI/ML workloads to ensure customer success in production environments.
What Skills and Knowledge Will You Bring?
Ideal candidates will have:
- 5 to 8 years of experience in enterprise cybersecurity with a significant background in customer-facing technical roles such as Professional Services, technical consulting, or security engineering, and hands-on experience with enterprise EDR and XDR technologies, including deployment, configuration, and migration from current endpoint security platforms.
- Proficiency across Windows, Linux, and macOS operating systems, an understanding of security technologies including threat detection, incident response, and SOC operations, and experience with cloud platforms like AWS, Azure, and GCP as part of broader security architectures.
- Hands-on experience deploying, operating, and troubleshooting Kubernetes workloads via Helm charts, including debugging pod-level errors, startup failures, and resource constraints, along with knowledge of enterprise networking concepts, such as load balancer configuration, certificate chain validation, and TLS interception in customer environments. Previous experience as a Kubernetes administrator, platform engineer, or SRE in customer-facing or production self-hosted deployments, including troubleshooting complex networking issues, is a significant advantage.
- Experience with DevSecOps practices including CI/CD pipelines such as GitHub Actions, GitLab CI, and Azure DevOps, proficiency in scripting or automation languages such as Python, PowerShell, or Bash, and experience with APIs and building automation frameworks or integrations. Foundational GPU knowledge, including provisioning, MIG splitting, and VRAM allocation for AI workloads, is valued, with hands-on experience in GPU-enabled infrastructure for AI/ML workloads being a further differentiator.
- Awareness of AI security risks, including prompt injection, data leakage, and secure usage of GenAI tools and AI agents, with experience securing GenAI or LLM-based applications—as well as supporting AI governance, compliance, or risk management frameworks—being a strong plus. Relevant industry certifications in security, cloud, or Kubernetes like CKA or equivalent are expected.
Why This Role?
AI is redefining how the world operates and rewriting the rules of security in real-time. The organization was built to be at the forefront of this change, designing an AI-native platform that operates at machine speed. Here, you'll have the opportunity to innovate and make a significant impact.
Equity & Rewards
- Restricted Stock Units (RSUs)
- Employee Stock Purchase Plan (ESPP)
Time Off & Wellbeing
- Competitive leave benefits
- Gender-neutral parental leave
Insurance & Financial Security
- Medical and insurance benefits
- Housing, education, and transportation allowances
- Employee Assistance Program (EAP)
Work Perks & Flexibility
- Global home office allowance
- Internet and mobile phone allowance
This organization is proud to be an Equal Employment Opportunity and Affirmative Action employer. They do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
This organization also participates in the E-Verify Program for all U.S. based roles.
