Required Head of Research
About the role:
As the Head of Research, you will lead our threat-research, security-innovation, and vulnerability-discovery efforts. You will define the strategy for how we uncover threats, identify novel attack vectors, influence product direction, and contribute thought leadership to the cybersecurity community. You will manage and grow a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful. This role emphasizes strong people leadership and cross-functional execution, alongside technical depth and hands-on research judgment.
What youll do:
Develop, own and evolve the research strategy by defining high value focus areas (for example misconfigurations, identity threats, workload vulnerabilities, and emerging attack techniques), and ensure alignment with our product roadmap and business objectives.
Lead, coach, and mentor a multidisciplinary research team (researchers, threat analysts, and engineers).
Build a healthy, high-performing org, including hiring, onboarding, and performance management.
Partner closely with product and engineering leadership to turn research insights into concrete roadmap items, detection logic, and customer value.
Drive discovery of new vulnerabilities, attack techniques, or adversary behaviors across cloud and modern infrastructure environments (for example containers, serverless, data stores, IAM).
Define metrics for research impact (for example vulnerabilities discovered, time to validate and operationalize new findings, research-driven product improvements, external reach).
Establish and maintain external partnerships (industry peers, academic groups, independent researchers) to expand our capabilities and pipeline.
Publish and present research findings (blog posts, white papers, conference talks).
Lead vulnerability disclosure and responsible communications.
Ensure the research function has the right infrastructure and processes (tooling, sandboxes, repeatable experimentation, documentation standards).
Stay current with the threat landscape, emerging technologies, attacker tradecraft, and relevant compliance or regulatory shifts.

Required Fraud Group Manager
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
The Fraud Group Manager leads the professional organization responsible for the "Intelligence Core" of our fraud detection products. You manage three specialized teams-Fraud Data Science, Fraud Research, and Fraud Analytics-that implement the core logic our customers use to fight fraud.
In this role, you aren't just a strategist; you are a Production Owner. You are responsible for the health, observability, and continuous improvement of detection logic in live environments. You work in a high-impact triad with Product Management and Platform Engineering, serving as the bridge between deep technical expertise and the customers who rely on our product to protect their business.
What youll do:
Group Leadership & Customer Engagement
Direct Management: Lead and scale a multidisciplinary organization of Data Scientists, Researchers, and Analysts.
Customer Fronting: Act as the primary technical fraud authority for our customers. You will join high-stakes meetings with CISOs and Fraud Heads to explain our detection logic, address performance concerns, and align our roadmap with their evolving threat landscape.
Stakeholder Orchestration: Partner with Product Management to define the "what" and Platform Engineering to ensure the "how" (infrastructure) meets your group's logic requirements.
Production Ownership & Quality Systems
Detection Observability: Own the end-to-end monitoring and health of fraud detection in production. You ensure that we have the visibility to know if a model is degrading or a specific customers detection is underperforming.
On-Call for Performance: Serve as the escalation point for critical detection failures or sudden spikes in false positives/negatives, ensuring rapid mitigation for impacted customers.
Quality Assurance Framework: Create and maintain a robust quality system (CI/CD for fraud logic) to ensure smooth, ongoing updates to detection models and heuristics without disrupting customer environments.
Lifecycle Management: Oversee the continuous tuning and optimization of live detection logic based on real-world feedback loops.
Technical Execution
Hands-on Vetting: Maintain deep technical fluency. You must be able to review Python code, validate complex SQL queries, and interpret model performance metrics to ensure they meet our high standards.
Logic Governance: Define the schemas and standards for how detection logic is developed, ensuring that research insights are effectively operationalized by the Data Science team.

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on various container optimized Linux distros. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.

What You'll Do:

Create and maintain high-performance linux system software components. Analyze complex software features, and build effective test strategies and test designs.

Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.

Work closely with a team of engineers to support and maintain a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions. Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles

Participate in code reviews and provide technical guidance to team members. Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable

Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud

Other projects as assigned

Were looking for a Senior Security Platform Engineer to join our team and work at the intersection of Security technology, and business. This role is about impact - not just ownership, not just execution, but building solutions that actually get used.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Support, maintain, and operate network, data, and AI security controls across our company production environments, and continuously improve protection, detection, and response capabilities.
Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing

Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.

We are looking for a Security Engineer to join us. In this role, you will take part in securing our companys production environments across network, data, and AI domains. You will work closely with SRE, DevOps, platform, and internal security teams to design, operate, and continuously improve security controls, reduce risk, and strengthen our detection and response capabilities in a fast-growing, cloud-native environment.
Responsibilities
Support, maintain, and operate network, data, and AI security controls across our companys production environments, and continuously improve protection, detection, and response capabilities.
Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing across the Cyber Defense Group.

We are looking for a senior, hands-on Security Operations Lead to build, mature, and operate detection, response, and corporate security capabilities. You will own the engineering, workflows, and processes that keep secure day-to-day, while continuously improving visibility, automation, and operational resilience across both corporate and production environments. This role requires a technical operator who can architect scalable detection and response pipelines, manage endpoint and identity security controls, streamline GTM security enablement, and collaborate across the company to reduce risk. You will balance strategic direction with hands-on execution-ensuring threats are identified quickly, incidents are handled effectively, and the organizations operational security posture remains strong as grows.
Responsibilities:
Own and mature Detection & Response program, including alerting, triage workflows, incident playbooks, and end-to-end response processes.
Build and maintain detection logic, integrations, and automation across logging, SIEM, EDR, cloud telemetry, and internal monitoring systems.
Lead incident investigations, coordinate response across engineering and business teams, and ensure clear communication and post-incident reviews.
Manage Corporate Security Program, including identity and access management, endpoint posture management, corporate data security controls, and DLP practices.
Oversee privileged access workflows and JIT access for corporate and production systems in alignment with least-privilege principles.
Partner with engineering teams to ensure production environments maintain strong security baselines, logging, and monitoring coverage.
Collaborate with GTM/Sales teams to support Security Enablement, including third-party security questionnaires, customer assurance needs, and auditor inquiries.
Build automation-first operational processes that reduce manual overhead and provide consistent, repeatable security outcomes.
Develop and refine detection and response runbooks, escalation paths, and cross-team coordination models.
Maintain and improve incident and operational metrics, dashboards, and KPIs to measure operational efficiency and threat coverage.
Drive the intake and prioritization of security operations requests through Jira and internal workflows.
Work closely with Product Security, Cloud/DevOps, and GRC to ensure shared visibility and aligned operational practices.
Identify operational security gaps, propose improvements, and lead implementation efforts across tooling, processes, and controls.
Promote a culture of proactive detection, fast response, and shared responsibility for organizational security.

As a senior researcher and tech lead on the team, you will play a pivotal role in conducting security research while mentoring and guiding fellow researchers to scale our capabilities. Beyond your individual contributions, you'll help establish research methodologies, foster collaboration, and build a culture of technical excellence within our growing team.

This role provides a unique opportunity to join a team with strategic importance for protecting our customers from emerging threats and novel attack methodologies in cloud environments. You will get to work with vast datasets, have a direct impact on the efficacy and evolution of our detections, and play a decisive role in the strategic direction of our product development. Your contributions will enable continuous improvement of cloud detection capabilities while helping develop the next generation of security researchers.

What You'll Do
Initiate and conduct Cloud Research Initiatives: Follow the threat landscape to identify trends in the realm of cloud infrastructure security, threat actors, novel attack approaches, and vulnerabilities in cloud-based and/or cloud-native environments and workloads.

Research threats and vulnerabilities in cloud provider infrastructure and containerized applications and workloads.

Develop advanced cloud security models: Create sophisticated models and frameworks for identifying and mitigating new types of cloud threats, focusing on predictive analytics and proactive threat hunting methodologies.

Lead and mentor research efforts: Guide fellow researchers in technical decision-making, establish research best practices and methodologies, and foster knowledge sharing within the team to build collective expertise.

Collaborate with cross-functional teams: Work closely with various teams, including engineering, product management, detection engineering, and threat intelligence to drive cloud detections in the Falcon platform.

Coordinate research initiatives: Lead technical discussions, prioritize research objectives within your area of responsibility, and ensure alignment with broader team goals and product roadmap.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.