Customer Success Engineer

🕒 vor 27 Tagen

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧑‍🔧 Technischer Customer Success Manager

👻 Geisterscore 15%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Noma Security

Noma Security

51 - 200 Mitarbeiter

Gegründet 2023

🔒 Cybersecurity

🤖 Künstliche Intelligenz

☁️ SaaS

💰 €100.000.000 Series B im 2025-08

Cybersecurity • Artificial Intelligence • SaaS

Noma Security ist ein Unternehmen, das eine einheitliche, unternehmensgerechte Sicherheitsplattform zum Schutz von KI-Systemen, Modellen und autonomen Agenten bietet. Seine SaaS-Plattform bietet kontinuierliche Entdeckung, Laufzeitschutz, Red-Teaming, Compliance- und Governance-Kontrollen sowie Echtzeit-Bedrohungserkennung über KI-Pipelines, Modelle, MCP-Server und agentische Workflows. Noma bedient große Unternehmen und regulierte Branchen und hilft bei der Integration von KI-Sicherheit in bestehende SecOps-, MLOps- und Entwicklungsprozesse.

Beschreibung

• 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 • Work closely with Customer Solutions, Product, Engineering, Research, Security, and Support, channeling technical customer insights back into the platform

🎯 Anforderungen

• 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 • 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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