6 дней назад
Senior Customer Success Architect (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Customer Success Architect (AI Security): Owning strategic post-sales relationships and technical direction for enterprise customers adopting an AI Security and Governance Platform with an accent on deployment roadmaps, AI security advisory, and measurable adoption outcomes. Focus on scoping integrations, investigating API and log issues, coordinating cross-functional escalations, and expanding platform use across AI workloads, LLM applications, and autonomous agents.
Location: Australia — Remote
Company
is building an AI Security and Governance Platform for visibility and protection across the AI lifecycle, including development, production, and autonomous agents.
What you will do
- Own post-sales relationships for a focused portfolio of enterprise customers across technical, security, and executive stakeholders.
- Build deployment roadmaps and success plans with defined phases, owners, target dates, and measurable outcomes.
- Lead quarterly business reviews, demonstrate customer value, and align on adoption and expansion plans.
- Advise customers on AI security programs, governance, architectures, risks, and practical implementation plans.
- Scope deployments, review integrations, investigate issues through API documentation and logs, and prepare technical escalations for R&D.
- Coordinate Customer Engineering, Product, Research, Engineering, Security, and Support resources to resolve blockers and incorporate customer feedback.
Requirements
- 5+ years of experience in customer-facing cybersecurity roles, including hands-on Solutions Engineering or Solutions Architecture.
- Experience owning enterprise customer strategy, deployment planning, success plans, executive reviews, and ongoing adoption.
- Strong technical ability to scope deployments, assess integration requirements, read API documentation and logs, and communicate specific findings to R&D.
- Strong cybersecurity expertise and understanding of generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP.
- Ability to work with CISOs, AI governance teams, architecture stakeholders, and technical teams across strategy, GRC, risk, and implementation discussions.
- Experience in an early-stage cybersecurity company and the ability to operate independently with evolving documentation and products.
Nice to have
- 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.
Culture & Benefits
- Full-time remote work from Australia.
- Early-stage environment with a rapidly evolving AI security product.
- Direct collaboration across Customer Engineering, Product, Research, Engineering, Security, and Support.
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