Security Researchers Team Leader
פורסם 10 במאי · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל הובלה וניהול של צוות חוקרי אבטחה, תוך התמקדות במחקר פגיעויות ואיומים בתחום ה-AI. המועמד יהיה אחראי על תכנון ויישום מנגנוני זיהוי לאיומים ביישומי AI, ויעבוד בשיתוף פעולה הדוק עם צוותי הנדסה ומוצר כדי להפוך את המחקר ליכולות אבטחה מעשיות. העבודה כוללת חקירת משטחי תקיפה מתפתחים ואימות ממצאים בסביבות ייצור.
- 2+ years of experience in a team leader or tech lead position
- 4+ years in security research, with hands-on experience in at least 2 of the following domains: cloud, web, API, identity, or supply chain security — and a solid working familiarity with the rest
- Strong coding and data analytics skills in Python, JavaScript, and Bash, with proficiency in SQL-like queries
- Proven experience building detection mechanisms as part of a security product or detection engineering practice
- Hands-on experience working with AI models in production — including agentic AI systems and LLMs
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למועמדים בעלי ניסיון של שנתיים לפחות בתפקיד ראש צוות או טק ליד, וארבע שנות ניסיון במחקר אבטחה עם התמחות בשני תחומים לפחות מתוך אבטחת ענן, ווב, API, זהות או שרשרת אספקה. נדרש ניסיון מוכח בבניית מנגנוני זיהוי וניסיון מעשי עם מודלי AI בסביבות ייצור. התפקיד פחות מתאים למי שמעדיף סביבת עבודה מוגדרת מראש ופחות אוהב ליצור מבנים חדשים.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAbout Us Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere. About the Role We're seeking a Senior Security Researcher & Team Lead to own and drive Zenity's security research domain from the ground up. This is a leadership-first role — you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you. You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership — with a real sense of urgency to shape the AI security landscape not just for Zenity, but for the entire security community. Responsibilities Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments. Take end-to-end ownership of detection mechanism design for agentic AI applications — from initial hypothesis through experimentation to production-grade implementation. Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape. Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities. Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.
Requirements: 2+ years of experience in a team leader or tech lead position. 4+ years in security research, with hands-on experience in at least 2 of the following domains: cloud, web, API, identity, or supply chain security — and a solid working familiarity with the rest. Strong coding and data analytics skills in Python, JavaScript, and Bash, with proficiency in SQL-like queries. Proven experience building detection mechanisms as part of a security product or detection engineering practice. Hands-on experience working with AI models in production — including agentic AI systems and LLMs — this is a must. Experience with the full ML lifecycle, and building machine learning or deep learning models — a significant advantage. High comfort with ambiguity — ability to define direction and execute without predefined guidelines. Curiosity, creativity, and a self-driven approach to research and leadership. sense of urgency in shaping the AI security landscape for the entire security community
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- היברידי
- 2+ years of experience in a team leader or tech lead position, 4+ years in security research, with hands-on experience in at least 2 of the following domains: cloud, web, API, identity, or supply chain security — and a solid working familiarity with the rest, Strong coding and data analytics skills in Python, JavaScript, and Bash, with proficiency in SQL-like queries, Proven experience building detection mechanisms as part of a security product or detection engineering practice, Hands-on experience working with AI models in production — including agentic AI systems and LLMs