Senior Customer Success Architect

Noma Security

. Own post-sales relationships for a focused portfolio of enterprise customers .

Posted 9/29/2026full-timeRemote • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in customer-facing cybersecurity roles, with a strong focus on Solutions Engineering and Solutions Architecture. Capable of translating customer priorities into actionable plans while driving adoption and managing enterprise customer relationships.

Highest-signal resume keywords

Customer-Facing Cybersecurity ExperienceSolutions Engineering or Solutions ArchitectureStrong Cybersecurity ExpertiseAI Security and Governance KnowledgeFamiliarity with NIST AI RMF and ISO/IEC 42001

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Deployment PlanningAPI DocumentationIntegration Requirements AssessmentTechnical Findings AnalysisGenerative AI KnowledgeLLM Applications UnderstandingAI Development PipelinesMCP FamiliaritySecurity Program UnderstandingRisk Assessment

Soft Skills

Building Trusted PartnershipsEffective CommunicationProblem-SolvingAdaptabilityCollaboration

Industry Keywords

CybersecurityPost-Sales RoleEnterprise Customer StrategyExecutive ReviewsAI RegulationOWASP GuidanceMITRE ATLASEmerging AI RegulationCustomer InsightsTechnical Outcomes

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

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

What you’ll need

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