Senior Customer Success Architect

This is a fully remote position, open to applicants in Australia.

📋 Description

• Manage post-sales relationships for a targeted group of enterprise clients.

• Establish trusted partnerships with technical practitioners, security leaders, and executives.

• Develop and implement deployment roadmaps and success plans that include distinct phases, responsible parties, and target timelines.

• Conduct quarterly business reviews to evaluate progress, showcase value, and agree on subsequent steps.

• Gain an understanding of customers’ AI environments, security initiatives, priorities, and potential risks.

• Convert customer priorities into actionable implementation plans.

• Define deployment scopes and assess architecture and integration needs.

• Utilize API documentation and logs to troubleshoot issues.

• Confirm assumptions and engage R&D with precise technical findings, specific inquiries, and well-articulated escalation requests.

• Align customer objectives with Noma’s capabilities and establish measurable outcomes.

• Encourage adoption beyond the initial rollout and identify further workloads, teams, and use cases.

• Collaborate with Sales for necessary commercial follow-ups.

• Align resources from Customer Engineering, Product, Research, Engineering, Security, and Support.

• Address obstacles and relay customer insights back to Noma.

⛳️ Requirements

• Over 5 years of experience in customer-facing cybersecurity roles, with a solid background in hands-on Solutions Engineering or Solutions Architecture, preferably in a post-sales capacity at a security vendor.

• Demonstrated ownership of enterprise customer strategy and technical outcomes, encompassing discovery, deployment planning, success plans, executive reviews, and continuous adoption.

• Strong technical expertise, including the capability to define a deployment scope, interpret API documentation and logs, evaluate integration requirements, and discuss specific technical findings with R&D prior to escalation.

• Comprehensive knowledge of cybersecurity and modern AI technologies and architectures, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP.

• Confidence in engaging with CISOs, AI governance teams, and architecture review stakeholders.

• Ability to convert customer priorities into implementable phased plans with clear ownership, timelines, and success metrics.

• Experience in an early-stage cybersecurity organization, demonstrating independence and adaptability to incomplete documentation and a swiftly changing product landscape.

• Familiarity with AI security, AI governance, or the protection of generative AI applications and autonomous agents.

• Knowledge of NIST AI RMF, ISO/IEC 42001, OWASP guidance, MITRE ATLAS, and emerging AI regulations.

• Background in both pre-sales technical and post-sales customer-facing roles.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits package.

• Opportunities for professional development and career advancement.

• Flexible work environment with remote work options.

• Collaborative and innovative team culture.