דרושים » אבטחת מידע וסייבר » Head of Research

We are seeking a seasoned security leader to manage a high-caliber research team focused on the security of Identity, SaaS, and Cloud ecosystems. In this role, you will provide technical mentorship and strategic vision, guiding research into service risk profiling and adversarial TTPs analysis. You will be the bridge between cutting-edge research and product innovation, ensuring our findings translate into high-impact security outcomes to stay ahead of modern adversaries.
Key Responsibilities
Define the research roadmap for Identity, SaaS, and Cloud risks, ensuring the team's outputs align with the evolving threat landscape and company goals.
Lead and grow a diverse team of security researchers, providing the technical guidance and career development necessary to maintain a world-class research organization.
Leverage your experience in a product-focused environment to ensure research outcomes directly influence service security strategies and customer-facing solutions.
Oversee the execution of high-fidelity attack simulations and TTP deconstruction, ensuring the 'how-to' of secure service usage is clearly defined and actionable.
Partner with Engineering, Product Management, and Threat Intel teams to transform raw research into robust mitigation strategies and resilient service blueprints.
Represent the team's research internally and externally, positioning the organization as a premier authority on Identity-centric and Cloud security.

We are looking for a Malware Group Manager to lead our endpoint protection and file security teams.
Someone with a passion for stopping malware where it lands, whether it comes through an email, or from the web, and for building the protections that keep our customers safe. Someone who wants to shape research and detection strategy across multiple teams, understand how attackers operate, and stay ahead of fast-moving threats, including zero-day attacks.
Our teams work across a rich stack: endpoint protection engines, file analysis and sandboxing, reverse engineering, and big data pipelines that turn raw telemetry into actionable threat intelligence and protections.
In this position you will lead several teams, set the technical and research, and make sure we deliver detection that works at scale.
Key Responsibilities
Lead and grow multiple teams and across endpoint protection and file security, and own the group's roadmap
Drive the group's AI transformation - bring GenAI and machine learning into how we research threats, build detection, and speed up our work
Set research and detection strategy, and align it with product and business goals
Drive endpoint and file protection capabilities that stop known and zero-day threats
Build a strong engineering and research culture and develop the next generation of leaders on your teams, and tooling to support them.

Were growing and looking to hire a Director of Data & AI who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments-without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
We are seeking a visionary Director of Visibility to lead our core technology engine. This is a highly unique role that demands both top-tier professional expertise in cybersecurity research and the ability to seamlessly integrate Data Science and AI in a precise, highly productive manner. We have ambitious visibility goals that require uncompromising accuracy. Your mission is to combine precise, in-depth professional understanding of Cyber-Physical Systems (CPS/XIoT) with the immense scale and capabilities of AI. You will lead a multidisciplinary group comprising Data Science, Network/Protocol Research, and Asset Classification teams to revolutionize how we discover, classify, and secure critical assets across industrial (OT) and healthcare (IoMT) environments.
Responsibilities
As a Director of Data & AI your impact will be:
Multidisciplinary Leadership: Manage, mentor, and synchronize three distinct teams (Data Science, Network Research, and Asset Classification), ensuring cross-functional synergy and unified product delivery.
Scaling Accuracy with AI: Architect our visibility solutions to achieve unparalleled precision. Blend deep professional domain knowledge with advanced ML to scale asset discovery without sacrificing the exactness required in critical infrastructure.
Feature Engineering & Parsing: Oversee the translation of obscure, undocumented industrial and medical protocols into actionable features for our AI models.
Cross-Department Collaboration: Work closely with various data groups, product management, and R&D teams to translate network visibility into actionable risk management, segmentation, and threat detection policies.
Advanced Data Fusion & Collection Strategy: Manage diverse collection techniques (passive, active, and integrations), and architect how to fuse information for every single device at the scale of AI-bridging applications, algorithms, LLMs, and beyond.

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Were growing and looking to hire a Senior Manager, Software Engineering - xDome who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose, and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments, without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
As Senior Manager, Engineering, you will lead two core R&D teams behind Network Protection and Anomaly & Threat Detection for our flagship SaaS platform, xDome.
In this role, you will build and scale high-impact, distributed security systems while leading the design of production-grade agentic services (policy recommendations, threat triage, and guided response).
Responsibilities
As a Senior Manager, Engineering - xDome, your impact will be:
Team Leadership: Lead, mentor, and develop Team Leads and Senior Engineers into strong technical owners.
Technical Architecture: Own system coherence across stream processing, large-scale analytics, and cloud-native detection/enforcement engines.
Execution & Impact: Set high standards for quality, resilience, and security while delivering customer-facing features and AI-driven capabilities.
Cross-Functional Collaboration: Partner closely with Product, Security Research, and Platform teams to deliver a unified customer experience.

We are looking for an experienced and highly driven Head of Security to join our Security leadership team, reporting directly to the CISO.

This is a unique opportunity to play a key leadership role in shaping and scaling the security program of a fast-growing fintech company. As Head of Security, you will serve as the CISO's trusted partner, helping drive the organization's security strategy while leading day-to-day execution across multiple security domains.

Yo will oversee both the Security Operations , Security Engineering and GRC organizations, managing team leads and security professionals across Israel and abroad. This role requires a strong combination of strategic thinking, technical depth, operational excellence, and people leadership.

The ideal candidate brings experience from large-scale, cloud-native environments and has successfully led security programs spanning Security Operations, Security Engineering, Compliance, Risk Management, and Security Architecture. You will work closely with Engineering, Infrastructure, IT, Product, Legal, Compliance, and executive leadership teams to continuously strengthen our security posture while enabling business growth.

What You'll Do
Drive execution of strategic security initiatives across the organization.
Partner closely with the CISO to define and execute our security strategy and roadmap.
Translate business objectives into scalable security programs and controls.
Act as a key stakeholder in security governance, risk management, and decision-making processes.
Help shape the future of Security, including emerging domains such as AI Security and Security Automation.

Organizational Leadership & Business Partnership
Lead and mentor multiple security teams, including Security Operations and Security Engineering, through direct management of team leaders and global security personnel.
Build scalable operating models, KPIs, governance processes, and organizational structures that support Sunbit's rapid growth and global expansion.
Partner closely with Engineering, Infrastructure, Product, IT, Legal, Compliance, Privacy, Risk, and Business leaders to ensure security enables business objectives while managing risk appropriately.
Collaborate extensively with US-based stakeholders and cross-functional teams in a dynamic global environment.
Drive the adoption of AI, automation, and emerging technologies to improve security effectiveness, operational efficiency, and scalability.

Required Director Software Engineering- CWP (Cortex Cloud)
Job Summary
As a Director of Engineering at Cortex Cloud, you will lead an engineering group of approximately 25 engineers operating in one of our most complex and cross-functional domains, focused on building KSPM (Kubernetes Security Posture Management) and CNS (Cloud Network Security).
This highly technical group works closely with some of the largest companies in the US across various domains.
This role requires a strong blend of strategic leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures.
You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring your teams execute against the roadmap with both speed and engineering rigor.
Key Responsibilities:
Build, mentor, and lead high-performing backend engineering teams, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic enterprise customers-including some of the largest companies in the US-to lead technical deep dives, review architecture, and influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

We are looking for a Linux Low Level Security Research team manager for our Tel Aviv R&D center. You will manage and lead a team that is responsible for researching the most recent Malwares, Kernel mitigations, EBPF, and advanced cybersecurity threats, as well as designing, developing and improving our Linux Agent ability to protect against different threats. The position includes researching Linux internals, Reverse engineering, malwares analysis, diving into internals of the Linux kernel and user-mode code, java, javascript and more.
Key Responsibilities
Leading the existing employees as well as hire future employees to join your team.
Be a thought leader around anti-malware detection and protection; designing, planning, and improving our anti-malware detection and prevention capabilities.
Lead the rapid response and find ways to prevent new critical vulnerabilities.
Respond to malware-based security events from customers.
Stay up to date with current malware and new attackers techniques.

We're looking for an AI Engineer to join our team. As an AI Engineer, youll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO
Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.