5 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 helping enterprise customers build and mature AI Security and Governance programs with an accent on deployment roadmaps, technical scoping, adoption, and executive alignment. Focus on investigating integration issues through APIs and logs, translating AI security priorities into phased implementation plans, and expanding platform use across AI workloads, agents, and LLM applications.
Location: Remote from the UK
Company
is building an AI Security and Governance Platform that provides visibility and protection across the AI lifecycle, from development to production and autonomous agents.
What you will do
- Own post-sales relationships and technical direction for a focused portfolio of enterprise customers.
- Build deployment roadmaps and success plans with clear phases, owners, target dates, and measurable outcomes.
- Lead quarterly business reviews and advise CISOs, AI governance stakeholders, security practitioners, and architecture teams.
- Scope deployments, review integrations, and investigate issues using API documentation and logs.
- Drive adoption beyond initial rollouts by identifying additional workloads, teams, and AI security use cases.
- Coordinate Customer Engineering, Product, Research, Engineering, Security, and Support resources to resolve blockers and share customer insights.
Requirements
- 5+ years of experience in customer-facing cybersecurity roles, with hands-on Solutions Engineering or Solutions Architecture experience.
- Experience owning enterprise customer strategy, deployment planning, success plans, executive reviews, and ongoing adoption.
- Technical ability to scope deployments, assess integration requirements, read API documentation and logs, and communicate findings with R&D.
- Strong cybersecurity expertise and understanding of generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP.
- Confidence working with CISOs, AI governance teams, and architecture stakeholders across strategy, GRC, risk, business outcomes, and technical discussions.
- Experience at an early-stage cybersecurity company and the ability to operate independently with an evolving product.
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 in both pre-sales technical and post-sales customer-facing roles.
Culture & Benefits
- Remote work arrangement for candidates based in the UK.
- Early-stage environment with an evolving product and incomplete documentation.
- Cross-functional collaboration across engineering, research, product, security, support, and customer teams.
- Opportunity to shape a new category at the intersection of AI, security, and cloud.
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