As a Professional Services Architect, you will serve as the primary consultant for customer onboarding and technical delivery across SentinelOne Endpoint solutions and associated security platforms, acting as a trusted advisor who guides customers on security best practices, platform management, and long-term success. You will own end-to-end delivery of complex deployments — including self-hosted Kubernetes environments and Prompt Security implementations — bringing deep technical expertise across endpoint security, DevSecOps, cloud, and AI security. If you are a skilled technical practitioner who thrives in customer-facing roles and is energized by solving complex, real-world security challenges, this role is for you.

What Will You Do?

Primary responsibilities include:

• Act as the primary consultant for customer onboarding activities related to SentinelOne 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 — including 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 such as prompt injection and shadow AI usage.
• Integrate SentinelOne capabilities into CI/CD pipelines and developer workflows to support shift-left security practices, and support customers in building automated detection, response, and remediation workflows, including contributing to automation frameworks, detection engineering, and internal tooling.
• Own end-to-end delivery of self-hosted, customer-managed Kubernetes deployments — including cluster-level installation, pod-level troubleshooting, and production readiness validation — and advise customers on enterprise-grade deployment topology including high availability, disaster recovery, and cluster health monitoring.
• Implement GPU-backed self-hosted deployments including capacity planning and provisioning guidance for AI/ML workloads, ensuring customers are set up for long-term operational 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 meaningful time in customer-facing technical roles such as Professional Services, technical consulting, or security engineering, and solid hands-on experience with enterprise EDR and XDR technologies including deployment, configuration, and migration from incumbent endpoint security platforms.
• Proficiency across Windows, Linux, and macOS operating systems, with a solid understanding of security technologies including threat detection, incident response, and SOC operations, along with experience with cloud platforms such as 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 — combined with working knowledge of enterprise networking concepts such as load balancer configuration, certificate chain validation, and TLS interception in customer environments. Prior experience as a Kubernetes administrator, platform engineer, or SRE supporting customer-facing or production self-hosted deployments, including troubleshooting complex networking issues in enterprise or air-gapped environments, is a strong 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 working with APIs and building automation frameworks or integrations. Foundational GPU knowledge including provisioning, MIG splitting, and VRAM allocation for AI workloads is also valued, with hands-on experience supporting 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 — including AI assistants, agents, or custom AI workflows — and supporting AI governance, compliance, or risk management frameworks being a strong plus. Relevant industry certifications in security, cloud, or Kubernetes such as CKA or equivalent are expected.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

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