[Hiring] Customer Success Engineer @Noma Security

Role Description

Join Noma Security and help shape the future of AI security. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI, Agents and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle—from development to production and autonomous agents.

We’re looking for a Senior Customer Engineer to help customers deploy, integrate, and operate Noma successfully within their production environments. You’ll be the hands-on technical resource for complex post-sales engagements, translating customer use cases into reliable configurations, integrations, automation, and operational workflows.

This role is ideal for a highly technical, customer-facing engineer who enjoys solving complex problems, working across AI, cybersecurity, and cloud environments, and turning one-off solutions into repeatable practices.

🛠️ What You’ll Do

• Technical Operationalization: Translate customer use cases into technical requirements, configurations, integrations, workflows, and production-readiness plans.
• Hands-on Guidance: Support deployment and optimization through architecture guidance, configuration advice, APIs, scripts, automation, and technical best practices.
• Problem Solving: Lead technical deep dives, diagnose complex configuration and integration issues, develop mitigations, and coordinate technical escalations with Support and Engineering.
• Technical Adoption: Help customers embed Noma into recurring security and operational workflows through workshops, enablement, runbooks, and reusable implementation patterns.
• Cross-functional Collaboration: Work closely with Customer Solutions, Product, Engineering, Research, Security, and Support, channeling technical customer insights back into the platform.

Qualifications

• 5+ years of experience in a customer-facing technical role within a B2B SaaS environment, such as Solutions Engineering, implementation engineering, technical account management, customer engineering, or technical consulting.
• Strong technical aptitude, including the ability to write scripts in Python, Bash, or similar languages for diagnostics, automation, data processing, and integrations.
• Hands-on experience with APIs, authentication, logs, cloud environments, security controls, system integrations, and production troubleshooting.
• Excellent communication skills, with the ability to lead technical customer conversations and explain complex concepts clearly.
• A proactive, customer-focused approach with strong problem-solving skills and a preference for scalable, reusable solutions.

Requirements

• Familiarity with AI technologies and workflows, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP.
• Background in cybersecurity, cloud security, application security, data protection, or cloud infrastructure.
• Experience with containers, CI/CD systems, infrastructure as code, observability platforms, CRMs, or ticketing systems.