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We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
The Responsibilities:
Analyze various network devices, configurations and security products
Implement methods and algorithms to discover network topology, relationships between devices and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers network infrastructure, and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams

Required Security Operations Team Lead
The Security & Information team is looking for someone who is passionate about technology and has a roll-up-their-sleeves mentality to join our global team. Youll play a crucial role in enhancing our security infrastructure, improving networking, ensuring scalability, and maintaining strong security as we continue to grow. If you want to be an industry leader, on a team experiencing hyper-growth, look no further!
What youll do:
As a SecOps Team Lead, youll be responsible for securing and protecting our infrastructure, including orchestrating and administering various internal autonomous processes and workflows. You will partner with technology team to onboard accessible AI workflows, driving the transition from manual SOC operations to an autonomous, agentic model. Youll also provide security expertise and guidance to the team on various security-related matters and build and own solutions to quickly identify breach attempts, contain and eradicate threats, streamline our security incident response processes, continuously test our controls, and help the business make informed decisions based on threat intelligence. This is a fast-paced environment, where youll have the opportunity to manage multiple projects at once.
Responsibilities:
Lead & Mentor: Manage a team of SecOps analysts, providing technical guidance, career development, and performance management in a fast-paced environment.
Act as the primary escalation point for high-priority security incidents, leading the triage, containment, and post-mortem processes for our production and cloud environments.
Lead SecOps projects from inception to execution, ensuring effective implementation and ongoing maintenance.
Coordinate investigation, containment, and other response activities with business stakeholders and groups.
Perform hands-on forensic investigations, log reviews, cloud investigations, and root-cause analysis
AI-Driven Operational Maturity: Proven track record in orchestrating autonomous workflows (e.g., automated phishing triage, AI-driven anomaly detection).
Develop incident analysis and findings reports for management, including gap identification and recommendations for improvement.
Drive SOC Enablement & Modernization: Partner closely with the technology team to streamline and democratize autonomous AI workflows, leading the teams transition from manual operations to an accessible, agentic SOC.

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.

our company seeks a Senior Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix.
The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself.
As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production.
Key Responsibilities
Triage and Resolve Bug Bounty Reports
Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition.
Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed.
Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues.
Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom.
Propose remediations, or design them with engineering, and verify the fix resolves the issue.
Assign and defend severity ratings using the program's severity framework.
Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure.
Own Researcher and Stakeholder Communication
Act as our company's primary technical point of contact for bug bounty researchers across the full lifecycle of a report.
Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible.
Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk.
Mentor the Team and Raise Triage Standards
Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication.
Set and maintain the bar for triage quality and strengthen program practices over time.
Lead Advanced Security Work Beyond Triage
Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally.
Perform original platform security research to surface issues ahead of external researchers.
Lead major product security incidents on the PSIRT side, coordinating response across teams under pressure.
Run forensic postmortems after significant incidents to determine how the issue reached production, including how design-level flaws bypassed release processes, and confirm that remediations hold.

we are looking for a Lead Security Researcher.
You will lead security research. This is not a bug hunting role. Your job is to invent the approaches that become product capabilities: new ways to detect, triage, and remediate vulnerabilities using LLMs and program analysis, proven on real data before a customer ever sees them.
You own the path from idea to shipped capability. You form the hypothesis, build the proof of concept, measure whether it actually works, and partner with engineering until it is in the product. You also own the quality bar: the benchmarks and evaluations that decide whether what we ship is good enough to put in front of customers.
You will set the research agenda, not just execute one. As the team grows, you will shape how research works here.

our company builds the real-time 3D platform that powers games and interactive experiences, along with tools used across ads, automotive, aerospace, architecture, retail, energy, and government. Our Product Security team keeps that platform, and the software built on top of it, safe for millions of creators and their users.
We are seeking a Senior Application Security Engineer with profound expertise in application security. In this role, you will execute fundamental AppSec tasks, including threat modeling, secure design reviews, code evaluation, and vulnerability management, leveraging both manual methods and advanced AI tooling. You will also help secure the AI systems our company itself is building, including agentic tools and AI-assisted development workflows.
You will work directly with engineering teams across the US and EMEA.
What you will do
Lead threat modeling, secure design reviews, and penetration testing for our company products and services, from the engine and editor to cloud services, APIs, and internal platforms.
Perform deep code review and manual testing on high-risk systems, using AI-assisted review processes and covering areas automated tooling cannot fully reach.
Build and operate security automation. Use and extend AI-assisted tooling for continuous code review, finding triage, and automated penetration testing, and step in where human judgment is required.
Secure our company's AI and agentic systems. Assess AI-native products, LLM integrations, and agent workflows for the risks specific to them.
Partner with engineering teams to drive remediation, turning recurring findings into guardrails, secure defaults, and paved paths.
Investigate and respond to application security incidents, including root cause analysis and durable corrective action.
Contribute to our company's secure development lifecycle and to compliance work.

Were growing and looking to hire a Senior Security Operations Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Claroty is 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.
About the Role:
In this role, you will be a key architect and operator of our modern security posture, focusing heavily on Cloud Access Security Broker (CASB/SSE) architecture, next-generation Endpoint Detection & Response (EDR), and securing the deployment and usage of Artificial Intelligence (AI) and Large Language Models (LLMs) across the enterprise.
As threats evolve, we are proactively embedding AI-driven defense mechanisms while managing the unique threat vectors introduced by enterprise AI adoption. If you thrive at the intersection of data protection, cloud edge security, and cutting-edge automation, this position offers an exceptional opportunity to impact our global defense strategy.

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.

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.

we are looking for a Lead Detection Engineer.This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Detection coverage strategy across endpoint, identity, cloud, and infrastructure - how it's measured, prioritized, and continuously improved.
Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic.
Architecture connecting detections to enrichment, triage, and automated response workflows.
Technical standards for how detections are designed, tested, documented, deployed, and retired.
Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops.
Design and build high-fidelity behavioral detections across SIEM and EDR platforms.
Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections.
Validate detections through threat simulations and continuous detection testing.
Partner with SOC analysts to close the feedback loop between detections and real investigations.
Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership.
Make architectural decisions that scale as the team and organization grow.

we are looking for a Senior Web Security Researcher.
As a Senior Web Security Researcher at Nimble, you will spearhead our efforts in the research domain, driving our cutting-edge data gathering solutions. You will work on complex technical challenges at the intersection of browser internals, reverse engineering, and large-scale data gathering. You will analyze and break down advanced client-side protection mechanisms, dive into large and complex codebases such as Chromium, and develop high-performance, cross-platform capabilities that power our products.
This role is both hands-on and research-driven: youll be expected to investigate hard problems, turn insights into solutions, and help push the boundaries of whats possible in web data gathering.
What Youll be Doing:
Reverse-engineer and analyze advanced bot-detection systems, including JavaScript based mechanisms and API interaction flows.
Analyze and modify large-scale browser codebases that empower our products.
Apply a deep understanding of browser internals and architecture to improve stability, performance, and resistance to anti-automation measures.
Collaborate with researchers and developers to integrate findings into production solutions.
Provide technical guidance and mentorship within the research team.

This is a hands-on role that balances deep technical work along with building and running the function: the Lead drives high-severity incidents end-to-end, serves as the escalation ceiling, and sets the standards and structure the team operates by.

Youre welcome to work in our offices in Tel Aviv, Israel.

Your responsibilities will include:

Build and lead global DFIR capability - select and mature DFIR tooling, and establish the playbooks and follow-the-sun operating model across EMEA, Asia, and APAC while hiring and developing a team of responders.
Lead the technical response to major incidents hands-on - from escalation through containment, eradication, and recovery - and act as the final technical authority on the most complex cases.
Personally conduct end-to-end forensic investigations across cloud, platform, and endpoint environments - log analysis at scale, host and network forensics, memory analysis, malware triage, and timeline reconstruction.
Define and enforce consistent investigation standards across the team: severity and escalation criteria, cross-region handoff quality, and evidence handling that meets legal, regulatory, and forensic requirements.
Partner with the SOC, SOC Automation, Threat Intelligence, Threat Hunting, and Platform Security teams to improve detection fidelity and reduce MTTD and MTTR.
Serve as the technical voice of incident response to executive leadership, Legal, and Privacy - delivering clear, risk-based briefings, regulatory-ready documentation, and root cause analyses (RCA).
Raise the teams technical bar through case reviews and hands-on mentoring, and drive lessons-learned into measurable improvements in controls and readiness.