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• Define the technical vision and architecture for the agentic security platform — covering planning, orchestration, tool use, memory, and guardrails.
• Own the most complex, highest-impact security agents end-to-end: from problem framing and prototyping through deployment, monitoring, and continuous improvement in production.
• Establish evaluation discipline across the org — including ground-truth datasets, offline/online evals, regression suites, and observability tooling for non-deterministic agent behavior.
• Benchmark and integrate frontier models (Claude, GPT, Gemini) on security tasks; translate emerging capabilities into concrete product bets.
• Build shared infrastructure — prompting frameworks, retrieval pipelines, guardrails, cost controls — that the entire team builds on.
• Partner with internal security stakeholders to identify high-leverage opportunities and translate ambiguous security problems into robust agent designs.
• Mentor engineers across the team through design reviews, pairing, and setting engineering standards for agent quality, safety, and reliability.
• Track research, model releases, and emerging techniques; translate relevant developments into a concrete roadmap.

Requirements

• BSc in Computer Science or equivalent practical experience; advanced degree (MSc/PhD) in CS, Cybersecurity, or a related field is an advantage.
• 5+ years of software development experience with demonstrated senior or staff-level technical ownership across teams or large projects.
• Deep security engineering foundations: vulnerability research, exploitation techniques across modern web apps and APIs, threat modeling, and security best practices across on-prem, cloud, and SaaS environments.
• Expert-level hands-on experience designing and shipping autonomous AI agents in production — including planning, tool use, multi-step reasoning, error recovery, and multi-agent architectures.
• Proficiency with agent orchestration frameworks (LangChain, CrewAI, or custom planners), RAG, context engineering, MCP, and related agentic harness patterns.
• Strong software engineering fundamentals: production-quality Python and at least one additional language, distributed systems, APIs, and data pipelines.
• Experience building evaluation infrastructure for non-deterministic systems — datasets, benchmarks, regression suites, and observability tooling.
• Professional proficiency in English (written and verbal) required; strong communication skills for cross-functional collaboration with security and platform leadership.

* Israel