Senior Customer Success Architect

🔥 9 minutes ago

🇦🇺 Australia – Remote

⏰ Full Time

🟠 Senior

🏆 Customer Success

👻 Ghost score 14%

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Logo of Noma Security

Noma Security

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

• Own post-sales relationships for a focused portfolio of enterprise customers • Build trusted partnerships across technical practitioners, security leaders, and executives • Build and drive deployment roadmaps and success plans with clear phases, owners, and target dates • Lead quarterly business reviews to assess progress, demonstrate value, and align on next steps • Understand customers’ AI environments, security programs, priorities, and risks • Translate customer priorities into practical implementation plans • Scope deployments and review architecture and integration requirements • Use API documentation and logs to investigate issues • Validate assumptions and engage R&D with specific technical findings, clear questions, and well-defined escalation requests • Connect customer objectives to Noma’s capabilities and define measurable outcomes • Drive adoption beyond the initial rollout and identify additional workloads, teams, and use cases • Coordinate with Sales when commercial follow-up is needed • Coordinate Customer Engineering, Product, Research, Engineering, Security, and Support resources • Resolve blockers and bring customer insights back into Noma

🎯 Requirements

• 5+ years of experience in customer-facing cybersecurity roles, with a strong background in hands-on Solutions Engineering or Solutions Architecture, ideally in a post-sales role at a security vendor • Proven ownership of enterprise customer strategy and technical outcomes, including discovery, deployment planning, success plans, executive reviews, and ongoing adoption • Strong technical depth, including the ability to scope a deployment, read API documentation and logs, assess integration requirements, and discuss specific technical findings with R&D before escalating • Strong cybersecurity expertise and understanding of modern AI technologies and architectures, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP • Confidence working with CISOs, AI governance teams, and architecture review stakeholders • Ability to translate customer priorities into actionable phased plans with clear owners, dates, and success measures • Experience at an early-stage cybersecurity company, with independence and adaptability to incomplete documentation and a rapidly evolving product • Experience with AI security, AI governance, or securing generative AI applications and autonomous agents • Familiarity with NIST AI RMF, ISO/IEC 42001, OWASP guidance, MITRE ATLAS, and emerging AI regulation • Experience across both pre-sales technical and post-sales customer-facing roles

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