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לפני 3 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Security Researcher.
As a Senior Security Researcher, you will bridge our core research initiatives at the intersection of proactive exposure management, agentic workflows, and scalable threat modeling. We are looking for an innovator who translates complex security data into product-driven features, taking full ownership from concept to production.
What You'll Do:
Drive Product-Led Research: Translate complex, real-world security challenges into actionable, product-driven research. Take full ownership of research projects end-to-end, from identifying the security gap to collaborating with engineering to ship platform features.
Drive Proactive Exposure Management: Leverage Automated Security Control Assessments (ASCA) alongside vulnerability evaluation and prioritization to holistically assess organizational risk. Deep dive into enterprise security tools (EDR, SIEM, Firewalls, IAM, etc.) to analyze configurations, map defensive capabilities, and continuously evaluate their effectiveness against real-world threats.
Build Security Tool Integrations: Drive the technical research and define the data models required to actually build deep, functional integrations into diverse security platforms, ensuring the accurate extraction of telemetry, policies, and configuration data.
Build AI & Agentic Workflows: Define, design, and implement the logic and knowledge base that feeds Nagomi's AI-powered agents, ensuring they deliver accurate, context-aware security guidance and automated risk assessments.
Map Attack Paths: Define realistic attack flows, identify toxic combinations of misconfigurations, and surface the security gaps that help customers prioritize the risks that actually matter.
Engage with Customers: Work directly with customers to help them understand their exposure, translate your research findings into meaningful posture improvements, and gather feedback to drive product innovation.
Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to embed security insights into everything we build.
Requirements:
Experience: 5+ years of hands-on experience in cybersecurity research, exposure management, vulnerability analysis, or threat intelligence.
Product Mindset: Strong ability to tackle projects end-to-end, translating theoretical security research into tangible product features and automated detection logic.
Broad Security Knowledge: Deep understanding of enterprise security tools (EDR, NDR, SIEM, VM, etc.), network topology, and how security components interact to impact network posture.
AI/Agentic Expertise: Proven experience building or heavily shaping AI-powered systems and agentic workflows. You must be able to point to concrete examples where you have integrated LLMs or AI processes to solve complex technical problems.
Attacker's Perspective: Solid foundation in how adversaries think, move laterally, and exploit enterprise environments, paired with expertise in leading vulnerability prioritization standards (MITRE ATT&CK, CISA KEV, EPSS).
Communication: Strong communication skills with demonstrated experience working directly with customers, stakeholders, and cross-functional engineering teams.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Security Researcher for the Exposures team, you will conduct research into vulnerability detection, remediation, and prioritization to enhance our asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security data, automate workflows, and prototype logic to address enterprise attack surfaces. This is a high-impact role where your research directly shapes how our customers identify and mitigate their most critical security gaps.

Responsibilities
Lead end-to-end security research projects focusing on vulnerability detection, risk prioritization, and exposure management logic.
Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate threat research, and prototype research tools.
Research and define remediation strategies, compensating controls, and configuration-based mitigations beyond standard patching.
Partner weekly with Product and Engineering teams to transform technical research into production-ready product capabilities.
Requirements:
4+ years of professional experience in security research, vulnerability analysis, or penetration testing.
Demonstrated proficiency with Python for scripting/automation and SQL for querying complex security data sets.
Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
Practical understanding of security frameworks and metrics including CVSS, EPSS, and MITRE ATT&CK.
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
6+ years of hands-on experience in detection engineering, security research or incident response - working with real production data at scale.
Deep knowledge of attacker techniques and behavior across at least 2 from: cloud, identity, endpoint, and network environments, with the ability to translate that directly into high-fidelity detection logic.
An AI-native mindset - you've built or applied AI-powered tooling in a security context (detection pipelines, alert investigation, hunting workflows) and you default to AI-powered approaches before reaching for manual ones.
Experience working within or alongside a product or engineering team - you understand how software gets built, and you know how to make your security expertise actionable for R&D and Product.
Strong coding skills (Python or similar), used for research, data analysis, detection development, and tooling.
A product-oriented approach to research - you think about scale, usability, and customer impact, not just technical correctness.
Self-directed and a strong self-learner - you don't wait to be pointed at problems, and you move fast when you find them.
Strong written and verbal communication skills in English, with the ability to explain complex security concepts clearly to both technical and non-technical audiences.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Security Researcher , you will play a key role in shaping the future of modern runtime AI security. You will investigate how real-world attacks unfold across AI-enabled applications, agents, tools, executed in cloud environments, and turn those insights into innovative, production-grade security capabilities across our AI Security Posture Management (AI-SPM) and AI Detection & Response (AI-DR) products.

This role is ideal for a deeply technical researcher who is driven to understand AI attacks at their core - not just identify suspicious prompts or surface-level indicators. You will research how prompt injection, tool misuse, agent drift, model abuse, and other emerging AI attack techniques translate into real runtime behavior and security impact. You will then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work in production.

Specifically, you will:

Research real-world attacks targeting models, agents, MCP/tooling ecosystems, RAG applications, and AI-enabled production systems.
Drive research end-to-end - explore, design, develop, validate, and deploy detection logic and protections based on runtime telemetry, exploit PoCs, technical analysis, and threat intelligence.
Shape AI-SPM capabilities by identifying what telemetry, signals, and modeling are required to continuously discover AI components, classify AI behavior, map risk, and detect unsafe or anomalous usage in production.
Shape AI-DR capabilities by researching how to detect AI-driven attacks, prove runtime impact, establish causality, and distinguish failed attempts from real compromise.
Work closely with engineering and product teams to turn deep technical research into practical security capabilities that deliver clear customer value.
Requirements:
5+ years of experience in security research, vulnerability research, detection engineering, threat research, application security, or a related technical security role.
Strong understanding of modern attack techniques, including the ability to analyze vulnerabilities, exploitation flows, and attacker behavior in real systems.
Familiarity with AI application architectures and concepts, including LLM-based applications, agents, tooling layers, models, RAG.
Experience designing and conducting hands-on technical research, including investigations, experiments, exploit analysis, and PoC development.
Strong programming skills for code analysis, research tooling, proof-of-concepts, and building vulnerable or instrumented test environments.
Experience working with runtime telemetry, behavioral signals, or detection-oriented datasets, and the ability to translate research into scalable detection logic.
High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes.
Strong communication and teamwork skills, with a collaborative approach to problem-solving across research, engineering, and product teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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04/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Security Researcher , you will play a key role in shaping the future of modern runtime and AI security. You will investigate how real-world attacks unfold across applications and cloud environments, and turn those insights into innovative, production-grade security capabilities.

This role is ideal for a deeply technical researcher who is driven to understand attacks at their core - not just identify surface-level indicators. You will research exploitation chains, runtime behavior, attacker techniques, and emerging AI attack patterns, then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work.

Specifically, you will:

Research real-world attack techniques targeting modern applications, cloud-native environments, and AI-driven systems.
Design, develop, validate, and deploy detection algorithms based on technical research, large-scale runtime telemetry, threat intelligence, and exploit PoCs.
Shape the strategy for detection data collection by defining the required telemetry, collection points, and data quality standards needed to support effective protection.
Drive research efforts end-to-end, from initial exploration and technical investigation to production-grade protection capabilities for active threats.
Work closely with engineering and product teams to turn research into practical security capabilities.
Requirements:
5+ years of experience in security research, vulnerability research, detection engineering, threat detection engineer, or a related technical security role.
Strong understanding of modern application attack techniques, including the ability to analyze vulnerabilities and exploitation flows.
Deep expertise in Linux internals.
High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes.
Experience designing and conducting hands-on technical research, including investigations, experiments, and PoC development.
Strong programming skills for code analysis, research tooling, and building proof-of-concepts and vulnerable test applications.
Strong communication and teamwork skills, with a collaborative approach to problem-solving across teams.
Data analysis skills and hands-on experience working with databases.
This position is open to all candidates.
 
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5 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are revolutionizing legal tech with an AI-powered Legal Intelligence Platform trusted by some of the world's fastest-growing companies including Wiz, Socure, and Fiverr.
We integrate seamlessly with Salesforce and other systems to help in-house legal teams accelerate negotiations, reduce risk, and unlock institutional knowledge through automated workflows.
We're solving complex problems at the intersection of AI and legal operations. Join us as we scale our impact globally.
About the Role
We're looking for a Head of Security to own security end-to-end at our company- from the architecture of our product to the systems our own team runs on.
We handle some of the most sensitive documents our customers have, and our buyers' security teams scrutinize us accordingly.
You'll be our first dedicated security hire and the sole internal authority on the subject: setting the standards our engineers build against, owning our compliance posture, and sitting across the table from customer CISOs to defend it.
This is a hands-on role with real strategic weight - if you want to build a security function from scratch at a company where security is a deal-maker, we want to hear from you.
What You'll Do
Design, architect, and implement security directly into our product and codebase
Own our internal security posture: corporate IT, access management, endpoint, and employee security practices
Lead customer-facing security engagements - pre-sales security reviews, CISO-level discussions, security questionnaires, and enterprise assessments - representing our company's posture to buyers who evaluate us seriously
Own our compliance program end-to-end, including audits, evidence, and vendor risk
Set security standards and best practices across R&D and product as the internal authority on the subject
Build the security review process for how we ship AI features - threat modeling around LLMs, agentic workflows, and customer data boundaries
Partner with DevOps and engineering on cloud security, secure architecture, and incident readiness
Grow the security function as we scale, from process to headcount.
Requirements:
Passion to own and deliver - you take full responsibility for security outcomes and drive initiatives from idea to production
Curiosity and adoption of AI tools - you actively use tools like Cursor or Claude Code and are excited about how AI is transforming both software development and the threat landscape
7+ years of hands-on security experience, with real depth in product or application security
Experience in customer-facing security roles, representing a company to client CISOs, IT directors, and security teams across enterprise and SMB
Strong command of cloud security (AWS/GCP/Azure), web application security, and secure architecture design
Hands-on experience running or building a compliance program (SOC 2, ISO 27001, or equivalent)
A builder's mindset - comfortable establishing process and structure where none exists
Ability to thrive in a fast-paced environment, balancing deep technical execution with high-level strategic and client conversations
Strong communication skills, effective in a fast-paced startup environment
Bonus Points
Experience securing LLM-powered applications, agentic systems, or AI infrastructure
Background working with legal, financial, or other high-stakes documentheavy domains
Hands-on coding ability in Python or TypeScript
Experience building a security function from scratch, especially as a founding or first security hire
Familiarity with Kubernetes, infrastructure-as-code, and cloud-native architectures.
This position is open to all candidates.
 
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03/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Security Analyst to join our research team. In this role, you will help uncover critical security risks in cloud, SaaS, and AI environments, with a strong focus on AI Agents & Non-Human Identity (NHI) Security.

You will own hands-on security research across active customer POCs, conducting deep-dive security research on their environments, identifying vulnerabilities, surfacing real risks, and delivering clear remediation steps. Utilizing cutting-edge platform alongside hands-on manual research, you will translate complex security gaps into high-impact insights and executive reports, helping shape the way organizations secure machine and AI-driven identities at scale.

What We Do
The Frontier of Identity Security: a pioneering startup in the AI Agent & Non-Human Identity (NHI) security space.
Research-Driven Value: Our team focuses on IAM security across cloud, SaaS, and GenAI/AI Agent infrastructures, working hands-on with customer environments.
Customer Journey Partners: Analysts play a critical role in POCs, uncovering misconfigurations and building actionable Security Reports that move deals and guide customers toward a stronger security posture.
Cross-Functional Impact: Youll bridge the gap between technical research and business value, collaborating with Product, Engineering, and Sales to drive product enhancements and help close strategic deals.
Your Responsibilities
Lead Security Research in POCs: Conduct hands-on security analysis of customer environments using platform, manual techniques, and advanced AI tools to optimize your research workflow.
Manual Environment Analysis: Deep-dive into customer architectures using APIs, access keys, and to expose weaknesses in IAM, machine identities, and AI agent permissions.
Deliver Actionable Insights: turn complex findings into high-level, impactful Security Reports that outline significant risks and provide clear, step-by-step remediation guidance.
Drive Product & Sales Excellence: Collaborate with Product and Engineering teams to share insights from the field and help improve the platform.
Partner with Sales teams to review environmental reports and confidently present security findings to customer stakeholders.
Stay Ahead of the Curve: Continuously track emerging risks in cloud security trends, IAM vulnerabilities, and emerging threats related to AI agents and automation.
Requirements:
What You Bring
4+ years of experience in security analysis, cloud security, or offensive/defensive security research.
Strong Cloud & IAM Expertise: Practical knowledge of cloud infrastructure security, identity management, authentication protocols, and securing non-human identities/AI workflows.
Analytical & Product-Oriented Mindset: Ability to master the Token platform, understand its capabilities deeply, and leverage it alongside AI-assisted research tools to uncover hidden risks.
Excellent Communication & Reporting: Proven ability to distill complex technical findings into structured, readable reports and present them clearly to both internal sales teams and external customers.
Customer-Facing Capabilities: Comfortable leading technical discussions, walking customers through findings, and acting as a trusted advisor.
Fluent English (both written and verbal).
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an AI Security Researcher to join us and uncover emerging AI threats, derive detection logic, discover new attack vectors, conduct red teaming, and identify insider threats and misconfigurations.
What You'll Do:
Deep-dive into AI usage risks, including threat detection for chat platforms and AI agents.
Research emerging agent threats and LLM attacks, such as jailbreaks and prompt injection.
Conduct red teaming and large-scale experiments on AI agents, including quantitative experimentation and advanced result analysis.
Assess internal and externally-facing AI agents for security posture and risk exposure.
Evaluate and attack real-time defenses and runtime protections for AI applications.
Conduct research across cloud, web, and API security to uncover novel threats and attack vectors relevant to AI systems.
Partner with product and engineering teams to turn research findings into detection logic, guardrails, or product features.
Stay current on and contribute to industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) - potentially contributing back to the community.
Publish blog posts, give talks, and represent research at conferences.
Requirements:
Background in AI/ML or security research. Ideal candidates have both, but we're equally open to candidates from data science or security research backgrounds with demonstrated depth in AI systems.
5+ years of experience in the AI or security industry.
Solid understanding of AI agents: how tool use, memory, planning, and orchestration layers interact, and where that architecture introduces risk.
Working knowledge of LLM and agentic security - prompt injection, jailbreaks, tool-use exploitation, memory/context poisoning, and related attack classes.
Knowledge of AI vulnerabilities at both the model and infrastructure layers, and familiarity with effective mitigation strategies (e.g., guardrails, sandboxing, input/output filtering, access controls).
In-depth understanding of LLMs, generative AI, agentic systems, and RAG pipelines - how they're built, where they break, and how failure modes propagate through a system.
Strong research methodology and judgment: experience designing large-scale experiments, forming hypotheses, and applying quantitative rigor to evaluate results, identify signal from noise, and draw defensible conclusions from complex or ambiguous data.
This position is open to all candidates.
 
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6 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.
Responsibilities:
Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.
Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.
Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.
Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.
Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.
Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.
Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.
Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.
Requirements:
BSc./MSc. in Computer Science, Security, or equivalent military/industry experence.
4+ years of security research (AppSec, malware, adversarial AI, or platform security). Experience with Agentic AI security research is an advantage.
Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling.
Experience with AI systems, agent frameworks, or protocol security (e.g., LangChain, MCP, A2A) is a strong plus.
Proficiency in Python for prototyping, research tooling, and detection logic; familiarity with TypeScript or Go is a plus for collaborating with engineering.
Strong grasp of cloud, SaaS, and endpoint security models, especially identity and data access.
Demonstrated ability to transform research into productized runtime detections.
Self-driven, curious, and eager to define the next frontier of enterprise security.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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05/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a SecOps Lead , you will own the core of the security operations function: detection, response, automation, and the processes that connect them. You will guide incident response from first alert through post-mortem, keeping efforts structured and stakeholders informed along the way. You will shape how the team detects, triages, and resolves, and communicate that work clearly to leadership, engineering, and customers.

This is a hands-on role with broad ownership. You should be comfortable writing a detection rule, coordinating a live incident, and walking stakeholders through a post-incident review.

Key Responsibilities

Lead Incident Response: Own the end-to-end incident response lifecycle across infrastructure and enterprise browser platform, driving investigations, coordinating responders, and ensuring timely resolution and post-incident improvements.
Own the IR Framework: Build, maintain, and continuously improve incident response processes, including runbooks, severity definitions, escalation paths, on-call procedures, and communication standards.
Drive Detection Engineering: Design, implement, and continuously improve high-fidelity detections across SIEM, EDR, cloud, and endpoint security platforms, closing visibility gaps and strengthening detection coverage.
Automate Security Operations: Build automation and AI-driven workflows that streamline triage, investigation, enrichment, and response, reducing manual effort and improving operational efficiency.
Threat Hunting & Research: Proactively hunt for threats, leverage threat intelligence, and identify emerging attack techniques relevant to modern enterprise environments.
Own Security Operations: Serve as the technical owner for Security Operations within Product Security, driving strategy, setting best practices, and continuously improving detection and response capabilities.
Partner Across Engineering: Collaborate closely with Engineering, IT, Infrastructure, and Compliance teams to embed security into new services, infrastructure changes, FedRAMP initiatives, and customer-facing security requirements.
Communicate During Incidents: Provide clear, timely communication throughout incident response, keeping technical teams, leadership, and stakeholders aligned on impact, progress, risks, and next steps.
Requirements:
5+ years of hands-on experience in Security Operations, Incident Response, or Detection Engineering.
Proven experience leading end-to-end incident response for high-severity security incidents in cloud or enterprise environments.
Strong understanding of detection engineering, threat hunting, and modern security operations, with hands-on experience using SIEM, EDR, and cloud security platforms.
Experience building and improving incident response processes, including runbooks, severity frameworks, escalation paths, and post-incident reviews.
Hands-on experience automating security operations using SOAR platforms and AI-powered workflows (Torq, Tines, or similar).
Solid understanding of AWS security fundamentals, including IAM, CloudTrail, and containerized environments (EKS is an advantage).
Strong knowledge of modern attack techniques, threat intelligence, detection methodologies, and investigation best practices.
Excellent written and verbal communication skills, with the ability to communicate effectively during incidents and present findings to both technical and non-technical stakeholders.
Experience collaborating across Engineering, Infrastructure, IT, and Compliance teams to improve security posture.
Experience mentoring engineers or leading cross-functional security initiatives is an advantage.
Familiarity with SOC2, FedRAMP, or other regulated compliance frameworks is a plus.
This position is open to all candidates.
 
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11/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
דרישות:
8+ years in security research, threat research, or closely related fields (offensive security, detection engineering, incident response, cloud security engineering). Fewer years are fine if your depth and track record are exceptional.
Deep multi-cloud expertise - strong hands-on experience across at least two of the major cloud providers (AWS, Azure, GCP), with working knowledge of the third. You understand the IAM models, logging pipelines, APIs, and attack surfaces that matter in each.
A track record of original research - you've published meaningful technical findings through blog posts, conference talks, open-source tools, or vulnerability discoveries that moved the needle. We want someone who doesn't just consume research - you produce it.
Strong adversarial mindset and critical thinking - you think like an attacker targeting cloud infrastructure, SaaS platforms, identity systems, and Kubernetes. You can model threat scenarios, map out attack paths, and poke holes in defenses.
Ability to operate autonomously on ambiguous, high-stakes problems. You don't wait for detailed specs - you identify what matters and drive it forward.#ENGLI המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8777209
סגור
שירות זה פתוח ללקוחות VIP בלבד