CTO Office Team Member

Zenity

. Take ambiguous security challenges from possibility to working POCs grounded in technical reality .

Posted 10/8/2026full-timeTel Aviv • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evaluating prototypes for cybersecurity solutions, particularly with LLMs and AI agents, while effectively communicating technical concepts to diverse stakeholders. Proven ability to navigate ambiguous security challenges and transition successful POCs to productization.

Highest-signal resume keywords

Hands-On Experience In EngineeringBuilding With LLMs And AI AgentsUnderstanding Of Attack Paths And Defensive ControlsExperience In Cybersecurity Product DevelopmentPrevious Leadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLMsAI AgentsAI-Assisted CodingCybersecurity ResearchPrototype DevelopmentTechnical DocumentationProblem-SolvingTechnical Feasibility AssessmentProduct Value AnalysisPublic Technical Output

Soft Skills

CommunicationCollaborationCritical ThinkingAdaptabilityPresentation Skills

Industry Keywords

CybersecurityProductizationEarly-Stage StartupZero-To-One EnvironmentTechnical Architecture

Tech Stack

Tools & technologies

Cyber SecurityOpen Source

About the role

Key responsibilities & impact

Take ambiguous security challenges from possibility to working POCs grounded in technical reality
Research customer needs, cybersecurity gaps, and technical feasibility
Own the end-to-end execution loop: scope the problem, build and evaluate the prototype, document the approach, and ship it
Partner with Product, R&D, and GTM to turn emerging problems into tangible solutions
Make decisions on architecture, tooling, and tradeoffs
Lead successful POC transitions to Engineering and Product for productization
Stay ahead of developments in AI and bring relevant insights to the team

Requirements

What you’ll need

Substantial hands-on experience in Engineering or Security Research
Hands-on experience building with LLMs and AI agents
Understanding of how LLMs and AI agents work, where they fail, and how to reason about them
Fluency with AI-assisted coding
Strong understanding of attack paths and defensive controls
Ability to investigate unfamiliar problems, form a point of view, and build solutions to prove they work
Ability to balance technical feasibility with customer pain and product value
Comfort starting from a blank page, working without a spec, and defining what “done” looks like
Ability to explain reasoning, present prototypes to technical and non-technical stakeholders, and document work for others
Experience building or researching cybersecurity products
Experience with AI agents or AI agent security
Experience in an early-stage startup or zero-to-one environment
Previous leadership experience as a team lead or tech lead
Public technical output such as blog posts, conference talks, open source contributions, or published papers