Proven ownership of enterprise customer strategy and technical outcomes, including discovery, deployment planning, success plans, executive reviews, and ongoing adoption.
Strong technical depth, with 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 a solid understanding of modern AI technologies and architectures, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP.
Confidence working with security leadership, including CISOs, AI governance teams, and architecture review stakeholders, with the ability to move between strategy, GRC and risk discussions, business outcomes, and deep technical conversations.
The ability to turn customer priorities into actionable, phased plans, with clear owners, dates, and success measures, and to identify opportunities for broader platform adoption.
Experience at an early-stage cybersecurity company, with the independence and adaptability to work with incomplete documentation, a rapidly evolving product, and the expectation of owning accounts within your first month.
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, with 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 a solid understanding of modern AI technologies and architectures, including generative AI, LLM applications, RAG, AI agents, AI development pipelines, and MCP.
Confidence working with security leadership, including CISOs, AI governance teams, and architecture review stakeholders, with the ability to move between strategy, GRC and risk discussions, business outcomes, and deep technical conversations.
The ability to turn customer priorities into actionable, phased plans, with clear owners, dates, and success measures, and to identify opportunities for broader platform adoption.
Experience at an early-stage cybersecurity company, with the independence and adaptability to work with incomplete documentation, a rapidly evolving product, and the expectation of owning accounts within your first month.
🎯 Nice to Haves
Experience with AI security, AI governance, or securing generative AI applications and autonomous agents.
Familiarity with frameworks and standards such as 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.
💙 Perks & Benefits
Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail.
A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶
Team bonding activities, company retreats, happy hours, and holiday gifts.
Pilates classes at the office 💪🧘♀️
Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️
A warm, supportive, and people-first company culture.
Pension and Keren Hishtalmut (advanced training fund).
A global work environment with teams across Tel Aviv, the US, the Netherlands, and London.
Options that let you share in Noma’s growth and success.
