דרושים » אבטחת מידע וסייבר » Senior Security Researcher

Were looking for a Security Vulnerability Researcher to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.



This is a hands-on role for a seasoned offensive researcher who thrives on technical depth and creativity. Youll collaborate closely with product, marketing, and engineering teams to deliver research that drives customer trust, informs product direction, and shapes industry thought leadership.

What Youll Do

Perform AI-Focused Vulnerability Research: Investigate security risks in AI models, APIs, and infrastructure to uncover exploitable weaknesses and publish insights that strengthen our market leadership.
Lead Red Teaming Against AI Systems: Simulate adversarial attacks on AI pipelines and APIs, creating impactful PoCs that showcase real-world risk and defensive strategies.
Build Customer-Facing Proof-of-Concepts: Partner with product and engineering teams to design and deliver PoCs that align with customer use cases and highlight security capabilities.

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.





WHAT YOU WILL DO

Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

We are looking for an Offensive Security Researcher to join our team; an enthusiastic, autodidact who is passionate about analyzing vulnerabilities and malware techniques. You will build offensive breach scenarios, with a particular emphasis on cloud environments (AWS, Azure, GCP) and adversarial techniques against AI systems and agents, integrating the latest security knowledge into the platform of threats and 1-day exploits. The role sits alongside our core threat research team and contributes to the full Hacker's Playbook across Windows, Linux, and AD red teaming as well.

The Impact You Will Have:
Lead research in Cloud offensive techniques across AWS, Azure, and GCP: privilege escalation paths, identity abuse, metadata service attacks, lateral movement across cloud-native services.
Drive offensive AI research: building adversarial techniques against AI systems and agents (prompt injection, model evasion, agent hijacking, supply-chain attacks on AI pipelines).
Research in rich environments: Work across Windows, Linux, Mac, Docker, and advanced cloud environments (AWS, Azure, GCP).
Research and implement a huge variety of cyber tactics (privilege escalation, defense evasion, lateral movement, OS persistence, credential access, etc)
Exploit complex 1-days on apps & native OS.
Innovate & Build: Work with a wide variety of technologies to simulate real-world adversarial behavior.

We are looking for a hands-on Security Research Team Lead to own and scale our Security Research domain.
This is a foundational role in a small, highly technical team, focused on deep security research, algorithmic thinking, and leveraging AI to turn complex data into accurate, actionable security insights.
This role is not about people management by default - it is about technical leadership, ownership, and building scalable research capabilities that directly impact product and customer security.
Responsibilities:
Own and lead the Security Research domain through hands-on technical work.
Research security risks in SaaS and business applications, including permissions, identities, and access models.
Design and apply algorithmic approaches to analyze complex data structures and security risk surfaces.
Leverage AI-based techniques to work with large-scale data, improve accuracy, and automate research workflows.
Detect security flaws, misconfigurations, and systemic risks in SaaS environments.
Lead and support complex security investigations and customer-facing incident research.
Work closely with Product and Engineering to translate research findings into scalable product capabilities.
Technically mentor and support a small and growing research team.
Define research priorities and help shape how the team scales over time.

Required Head of Research
Were looking for driven and talented people like you to join our team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
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.

We are looking for a Senior Detection Researcher to join us and play a key role in designing the next generation of our detection and enforcement systems.
What You'll Do:
Lead research initiatives to design, implement, and deploy innovative detection methods at scale, from early-stage discovery to production rollout.
Investigate adversarial attack patterns, dissect how threat actors operate, and develop countermeasures that are resilient to adaptation and evasion.
Engineer and curate features across large-scale data pipelines (Reputation signals, behavioral signals, network-level attributes) to fuel detection models and algorithms and reputation systems.
Collaborate closely with engineering, product, security research, data science, and incident response teams to translate research findings into production-grade enforcement rules and models.
Leverage AI tools daily to maximize output and drive high-quality results
Own end-to-end customer-facing research for strategic accounts. conduct deep-dive traffic analysis, resolve complex escalations, and drive detection improvements based on real-world adversarial activity.
Contribute to the team's detection quality practices by reviewing colleagues' work, monitoring production anomalies, and iterating on precision/recall trade-offs.

We are seeking a talented Penetration Tester & Researcher to lead complex offensive security engagements and groundbreaking research. You will execute sophisticated attack simulations, identify high-value vulnerabilities, and collaborate with clients to enhance their security posture.

This role offers a balance between hands-on technical assessments and original research that shapes the broader cybersecurity community.

Roles and Responsibilities:
Conduct advanced penetration tests across web, mobile, and thick-client applications.
Contribute to internal tools, scripts, and methodologies that enhance efficiency.
Design and simulate real-world attack chains reflecting modern threat actors.
Perform vulnerability research, exploit development, and threat modeling.
Research, develop, and implement offensive security methodologies utilizing AI technologies.
Produce detailed technical reports with actionable remediation strategies.
Collaborate directly with clients to guide mitigation and improve resilience.
Publish research, present findings, and represent us at conferences or in public forums.