דרושים » אבטחת מידע וסייבר » Head of Research

We are looking for a visionary VP of Research to lead our elite research group, based out of our Tel Aviv R&D center. Reporting directly to the CTO, you will be responsible for the companys threat research strategy, driving original vulnerability discovery, and ensuring our "Hackers Playbook" remains the most comprehensive in the industry.

This is a highly visible role that balances deep technical leadership with external evangelism. You will not only manage a team of top-tier security researchers but also serve as the public face of our research. You will be presenting at major global conferences, briefing executive customers, and shaping the industry narrative on offensive security.

THE IMPACT YOU WILL HAVE

Research Leadership & Strategy

Lead, mentor, and grow a high-performing team of security and threat researchers.
Define the research roadmap, balancing original vulnerability research (novel attack vectors) with threat intelligence (analyzing emerging APTs, ransomware, and TTPs).
Foster a culture of innovation, guiding the team to discover new attack surfaces in Windows, Linux, macOS, and LLMs.
Thought Leadership & Evangelism

Serve as a primary spokesperson . You must have a proven track record of speaking at top-tier industry conferences (e.g., Black Hat, DEF CON, RSA, BlueHat).
Drive the creation of high-impact technical content, including white papers, technical blogs, and press commentary on breaking security news.
Represent in the media and create relationships with the broader security community.
Product & Business Alignment

Collaborate closely with Product Management and R&D to translate research findings into product capabilities.
Ensure our customers are protected against the latest threats (e.g., US-CERT alerts, Flash reports) within hours of disclosure.
Customer Engagement

Act as a trusted advisor to C-level executives (CISOs, CIOs) at our strategic customers.
Support the Sales and Customer Success teams by providing deep technical insights during high-stakes briefings and QBRs.

As the Code & AI Security Research Manager, you will lead an elite team in redefining trust for an era of agentic automation and hyper-connected supply chains. You will serve as a technical lighthouse and strategic leader, managing a high-performance team to secure the core of modern engineering. Your mission is to bridge deep technical research with product innovation, ensuring our customers' security posture evolves faster than the way they build software.
Key Responsibilities
Lead, mentor, and empower a team of world-class security researchers to pioneer AI-native security strategies.
Define the vision for identifying and mitigating novel attack vectors targeting coding agents and autonomous development workflows.
Oversee the evolution of traditional code vulnerabilities into proactive, self-healing workflows that fix issues before they reach a pull request.
Drive deep-dive research into software supply chain vulnerabilities, including CI/CD pipeline risks and third-party package security.
Proactively collaborate with Product and Engineering leaders to integrate research findings into core platform detection and remediation logic.
Establish the team as a global thought leader by overseeing original research publications, influential blog posts, and conference presentations.

Were looking for a Senior Security Researcher to drive high-impact research across cloud, runtime, and application environments, and translate it into product-grade detections. This is a hands-on role for someone who can lead investigations end-to-end: from understanding attacker tradecraft and vulnerabilities, through building reliable detection logic, to influencing product direction.
On a typical day youll:
Lead deep-dive research into real-world attacks, vulnerabilities, and emerging cloud and runtime techniques
Own complex investigations (DFIR, threat hunting, root-cause analysis) and convert learnings into durable detections
Design and implement advanced detection logic and analytics across cloud assets, containers, Kubernetes, and Linux runtime telemetry
Build prototypes and production-ready components that improve detection accuracy, fidelity, and coverage
Partner closely with engineering and product to shape roadmap priorities and guide implementation details
Develop research methodologies, testing frameworks, and validation processes for new detections
Mentor and level up other researchers and engineers through reviews, knowledge sharing, and technical guidance
Represent the team externally through publications, technical blogs, and conference talks.

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.

We are seeking an experienced, visionary Cyber Research Team Lead to guide and grow a multidisciplinary cyber research team. You will lead a group of domain experts - from network engineers and identity specialists, to red-teamers, protocol researchers, penetration testers, data analysts and cloud/virtualization experts - working collaboratively to build our next-gen AI-based posture management platform. As team lead, you will both manage the team and shape the research agenda: coordinating cross-domain investigations, defining priorities, mentoring researchers, and ensuring that research output feeds directly into scalable, intelligent workflows and product capabilities.
If youre passionate about cyber research, enjoy nurturing technical talent, and thrive on building complex, multi-domain security products - this is your chance to build and lead a research team that defines how AI defends modern enterprise infrastructure.
The Responsibilities
Lead, mentor, and coordinate a diverse, multi-domain cyber research team.
Define and drive the teams research agenda, establishing multi-domain security research priorities aligned with company goals and product roadmap.
Translate research findings into actionable AI-based deliverables - such as automated workflows and agentic flows integrated into the AI-based posture management product.
Coordinate and work in multidisciplinary squads to build customer facing product, ensuring real-world relevance and impact.
Maintain research excellence and innovation culture - encourage internal knowledge-sharing, code/tool reuse, and continuous learning.
Recruit, grow, and manage talent -identify skill gaps, hire new researchers, mentor researchers, and foster a collaborative, high-performance team environment.
Stay current with emerging cyber threats, infrastructure trends (cloud, virtualization, identity systems), adversarial techniques and AI-driven security trends - and evolve research strategies accordingly.

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.

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

We are expanding our Research Team and are looking for a Junior Malware Researcher with a strong technical mindset, excellent communication skills, and a passion for problem-solving.
As a Malware Researcher, you will be responsible for hunting emerging malware and malvertising campaigns and developing effective detection methods to protect our global customers. You will work closely with the R&D and Product teams and be part of a friendly, professional team based in Tel Aviv, supporting customers worldwide.
Responsibilities:
Detect, monitor, and hunt new malvertising and malware threats
Research new attack vectors, delivery methods, and evasion techniques
Develop and improve detection logic and signatures
Investigate malicious campaigns using internal tools, databases, logs, and external intelligence sources to uncover hidden patterns
Analyze web traffic, scripts, redirects, and network behavior to identify malicious activity
Collaborate with R&D and Product teams to translate research into production-grade protections
Contribute to internal documentation, research reports, and best practices to improve knowledge sharing and support processes

We're looking for a Threat Detection Researcher to join the Threat Research team and spread the power. In this role, you will further develop the Cloud-native Threat Detection domain.
WHAT YOULL DO
Design behavioral baselines for complex cloud environments using diverse signals, and develop high-fidelity detections based on those baselines.
Expand our detection engine with novel and high-impact telemetry sources, pushing the boundaries of what can be detected in modern cloud environments.
Conduct deep technical research into complex cloud services to uncover novel attack vectors.
Investigate real-world attacks across cloud environments, identity providers (IDPs), and infrastructure-as-a-service (IaaS) platforms.
Hunt and analyze emerging threats and active campaigns targeting cloud ecosystems.