HiddenLayer

Platform Engineer

• Lead deployment and lifecycle management of our multi-prem platform across commercial cloud, bare-metal, air-gapped, and IL4+ environments.
• Build and maintain infrastructure-as-code (Terraform, Helm, ArgoCD, etc.) to automate consistent deployments across customer sites.
• Ensure our customer-hosted builds (“shrink-wrapped” software) remain closely aligned with our continuously deployed SaaS platform.
• Maintain and optimize Kubernetes clusters and container build pipelines (EKS, K0s, AKS, or on-prem distributions).
• Implement secure and reproducible container image build pipelines, aligned with our internal release processes.
• Collaborate with Engineering teams to harden deployments for regulated, classified, and air-gapped customer systems.
• Document and version deployment patterns, templates, and procedures to support both automation and accreditation workflows.
• Support incident response, troubleshooting, and upgrade cycles across multiple platform footprints.
• Contribute to the overall architecture and evolution of the multi-prem reference design, ensuring scalability, reliability, and security parity with SaaS.

Solutions Engineer

• Customer Onboarding & Deployment: Partner with customers to design and implement secure deployments of our AI security solutions, ensuring seamless integration into their environments (cloud, on-prem, or hybrid).
• Technical Guidance & Iteration: Provide expert technical consultation on infrastructure, containerization (Docker/Kubernetes), and cloud networking. Help customers rapidly iterate and adopt best practices for secure AI operations.
• Customer Success Ownership: Act as the primary technical point of contact post-sale, ensuring customers derive ongoing value, achieve their security objectives, and successfully scale their deployments.
• Troubleshooting & Optimization: Diagnose and resolve customer issues, optimize configurations, and proactively identify opportunities for improvement.
• Enablement & Training: Deliver hands-on workshops, training sessions, and technical documentation to empower customer teams to be self-sufficient with our products.
• Feedback Loop: Capture customer feedback and collaborate with product management, engineering, and research teams to inform roadmap priorities and product enhancements.

Solutions Architect – Post-Sales

AI Engineer

• Collaborate with the sales team to engage with clients and prospects, conducting technical discussions to understand their security challenges, objectives, and infrastructure requirements.
• Conduct product demonstrations and presentations, showcasing the features, functionalities, and benefits of our AI security solutions to prospective clients.
• Architect customized security solutions tailored to client needs, leveraging your understanding of cybersecurity principles, AI technologies, and industry best practices.
• Lead the development and execution of proof of concept (PoC) projects, working closely with clients to validate the effectiveness and feasibility of our solutions in their environment.
• Provide pre-sales and post-sales technical support to clients, addressing inquiries, troubleshooting issues, and ensuring a smooth deployment and integration process.
• Conduct training sessions and workshops for clients and internal stakeholders, empowering them with the knowledge and skills to effectively utilize our AI security products.
• Collaborate with cross-functional teams including product management, engineering, and research, to provide feedback from the field and contribute to product enhancements and roadmap.
• Stay informed about market trends, emerging technologies, and competitive landscape in the AI security space, continuously enhancing your knowledge and expertise.

Platform Engineer

Solutions Architect – Post-Sales

AI Architect, Pre-Sales