Member Of Technical Staff, CTO Office
פורסם 19 ביולי · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל עבודה במשרד ה-CTO כמנוע מחקר ופיתוח לפתרונות אבטחה עבור סוכני AI. העבודה היומיומית כוללת דגירה על רעיונות חדשים, התמודדות עם מתקפות סייבר חדשות, פיתוח הוכחות היתכנות (POCs) והעברת יכולות מתקדמות לצוותי המוצר והפיתוח.
- 7+ years building real production systems, with both application and infrastructure depth
- Experience architecting solutions across diverse environments and platforms, running large-scale services on AWS/Azure/GCP
- Expertise with modern programming languages such as Python/TypeScript/Go/C#/Java
- Hands-on experience building with LLMs and AI agents (instrumenting, reasoning about failure modes, beyond API calls)
- Fluent with AI-assisted coding
- Experience with inline instrumentation, eBPF, CASB, Sandbox
- Former cybersecurity founder/CTO
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
מתאים לאנשי פיתוח ומחקר עצמאיים בעלי 7+ שנות ניסיון בהקמת מערכות ייצור, ידע מעשי ב-LLM וסוכני AI, ורקע באבטחת מידע. פחות מתאים למי שמחפש משימות מוגדרות מראש ותפקיד עם אפיון סגור.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAbout Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: The CTO Office is Zenity’s core discovery engine, dedicated to navigating the rapid evolution in AI agent security and “building the lighthouse.” We are a high-agency team of ICs with integrated Engineering, Research, and Product mindsets. Our mission: incubate new ideas, define the approach to emerging attack classes, and build working POCs that prove technical reality. Guided by the CTO, Product, and GTM, we validate hard, open problems and actively support the Product organization by opening new development paths and seamlessly handing over advanced capabilities.
Requirements: Requirements: • Engineering. 7+ years building real production systems, with both application and infrastructure depth. You’ve shipped, scaled, and operated real systems, not just prototyped them. Experience architecting solutions across diverse environments and platforms. Expertise with modern programming languages such as Python/TypeScript/Go/C#/Java, and experience running large-scale services on AWS/Azure/GCP. • AI. Hands-on experience building with LLMs and AI agents. You understand how they work, where they fail, and how to instrument and reason about them, not just call an API. You are fluent with AI-assisted coding. • Cybersecurity. Experience in the cybersecurity space. You can follow a security conversation with offensive researchers and defensive practitioners. • Product mindset. You can hold “is this the right thing to build?” in tension with “is this technically feasible?” and decide both. You care about who the user is and what they need. • Agency. Comfortable starting from a blank page, working without a spec, and being the one who defines what “done” looks like. You move fast, ship POCs, write the doc, and tell the story. • Experience with AI agents and AI agent security • Experience with: inline instrumentation, eBPF, CASB, Sandbox - Advantage • Former cybersecurity founder/CTO - Advantage
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- היברידי
- 7+ years building real production systems, with both application and infrastructure depth, Experience architecting solutions across diverse environments and platforms, running large-scale services on AWS/Azure/GCP, Expertise with modern programming languages such as Python/TypeScript/Go/C#/Java, Hands-on experience building with LLMs and AI agents (instrumenting, reasoning about failure modes, beyond API calls), Fluent with AI-assisted coding