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Supply Chain Manager Reports to: VP of Operations Role Overview Lead the company’s global supply chain operations and manage a small professional team, with end-to-end responsibility for planning, production, inventory, subcontractors, and customer delivery commitments. The role focuses on ensuring product availability and on-time delivery while balancing inventory levels, operational risks, and costs across global sites and logistics centers. Key Responsibilities
* Lead the global supply chain planning process, translating sales forecasts and customer orders into production, purchasing, and inventory plans.
* Manage subcontractors and manufacturers in Israel and abroad, including production plans, material availability, capacity, priorities, and delivery performance.
* Ensure customer delivery commitments are met through ongoing monitoring of orders, supply gaps, shortages, and operational risks.
* Manage global inventory levels, replenishment plans, and inventory policies across company sites and logistics centers.
* Drive initiatives to reduce excess, slow-moving, and obsolete inventory.
* Identify supply chain bottlenecks and proactively manage shortages to ensure continuity of supply.
* Monitor subcontractor performance through KPIs, targets, and improvement plans.
* Collaborate closely with Purchasing, Logistics, Quality, Engineering, Sales, Finance, Customer Service, Product Management, and Information Systems.
* Build, track, and present key supply chain performance indicators.
* Manage and develop a small professional team.

We're looking for a Tech Lead Engineer to drive the technical strategy for our cross-platform endpoint agent - built in C#/.NET and hardened for production across macOS, Windows, and Linux. You'll own features end to end across a managed fleet of enterprise devices, stay hands-on writing code, and raise the technical bar for a distributed engineering team. This role also means setting the standard for how the team uses AI coding agents responsibly - fast, but production-grade.

What Youll Do
Responsibilities:
Drive the technical strategy for our cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux.
Provide technical leadership to a distributed team of engineers, raising technical expertise and engineering practices across the organization.
Own features from discovery to delivery, solving complex domain problems across a managed fleet of enterprise devices.
Maintain a hands-on approach by writing code and mentoring engineers to elevate the organization's technical capabilities.
Architect the agent using C# and platform-specific extensions, ensuring performant integration with each operating system's security frameworks.
Own high-impact technical decisions that balance velocity, security, and reliability.
Deliver maintainable features supported by comprehensive testing, metrics, and monitoring.
Shape the agent roadmap and ensure resilient production systems in collaboration with cross-functional leadership.
Participate in design and code reviews to maintain high engineering standards.
Champion AI-assisted engineering across the team - set the bar for how coding agents accelerate delivery, and establish the practices and guardrails that keep output production-grade.

looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.

What Youll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.

We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation.

This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews.

What Youll Do
Responsibilities:
Assume ownership of features and deliver value to customers.
Design scalable Big Data pipelines using cutting-edge technologies.
Deliver high-quality engineering applying common engineering principals.
Work on building GenAI & Copilots security solutions.
Think creatively about complex problems and deliver technological Innovation.
Collaborate with others via open discussions, Design Reviews and Code Reviews.

We are looking for a Senior Product Security Engineer to own and evolve our Application and Cloud Security programs end-to-end. You'll embed security early in the development lifecycle, drive automation-first security practices across engineering, and partner closely with DevOps and product teams to keep our platform secure by design - from code to cloud.

What Youll Do
Responsibilities:
Own, maintain, and continuously improve the Secure Design Review process, ensuring security considerations are integrated early in the development lifecycle.
Develop, implement, and maintain our Application Security Program, including controls, standards, developer enablement, and automation - managing SAST and DAST tooling, integrations, alerting, and program-wide reporting.
Develop and maintain our Cloud Security Program, defining guardrails, policies, and automated controls for secure-by-default cloud deployments, including CSPM tooling, findings triage, and alignment with internal risk and compliance processes.
Monitor and enforce SDLC security controls, ensuring consistent application of secure development practices across all engineering teams.
Partner with DevOps to design, implement, and maintain a fully secured CI/CD pipeline, embedding security checks, guardrails, and automated gates throughout build, test, and deployment stages.
Collaborate closely with engineering teams to deliver actionable guidance, model threats, advise on architecture, and support secure implementations.
Identify gaps in product, application, and cloud security posture, and drive end-to-end remediation and vulnerability management campaigns.
Define and track KPIs, metrics, and reporting for application and cloud security health.
Drive automation-first approaches to product and cloud security, reducing friction and enabling fast, safe development, while promoting a culture of security and developer empowerment.

We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies.

You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you.

What Youll Do
Responsibilities:
Build, train, and ship detection models end-to-end, from raw data to production.
Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results.
Partner with security researchers to turn security research outputs and domain expertise into detection capabilities.
Own evaluation: design benchmarks, build labeled datasets, and define production standards.
Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability
Iterate fast, with a tight feedback loop between model performance and product outcomes.