Customer Engineer
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Job Description
Senior Customer Engineer deploying and integrating Noma’s AI security and governance platform. Operationalizing customer environments across AI, cybersecurity, and cloud.
Responsibilities:
- Translate customer use cases into technical requirements, configurations, integrations, workflows, and production-readiness plans
- Support deployment and optimization through architecture guidance, configuration advice, APIs, scripts, automation, and technical best practices
- Lead technical deep dives, diagnose complex configuration and integration issues, develop mitigations, and coordinate technical escalations with Support and Engineering
- Help customers embed Noma into recurring security and operational workflows through workshops, enablement, runbooks, and reusable implementation patterns
- Collaborate with Customer Solutions, Product, Engineering, Research, Security, and Support, channeling technical customer insights back into the platform
Requirements:
- 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
- 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
- Proactive, customer-focused approach with strong problem-solving skills and a preference for scalable, reusable solutions
- 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
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