Customer Engineer

🕒 September 22

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🛠️ Implementation Specialist

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Noma Security

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

💰 $100M Series B on 2025-08

Cybersecurity • Artificial Intelligence • SaaS

Noma Security is a company that provides a unified, enterprise-grade security platform for protecting AI systems, models, and autonomous agents. Its SaaS platform offers continuous discovery, runtime protection, red-teaming, compliance and governance controls, and real-time threat detection across AI pipelines, models, MCP servers, and agentic workflows. Noma serves large enterprises and regulated industries, helping integrate AI security into existing SecOps, MLOps, and development processes.

📋 Description

• 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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