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We are looking for a brilliant, hands-on Technical Demo Intern to own the evolution and reliability of our core company demo environment. In this role, you will be the bridge between engineering, product, and sales engineering, ensuring our demo platform seamlessly integrates cutting-edge features while reliably showcasing complex, real-world attack flows.
Responsibilities:
AI-driven research: use LLMs and AI tools to find better ways to explain and fix complex security issues. Use Python to analyze datasets and benchmark prompt performance to ensure AI accuracy in security contexts.
Rapid Prototyping: Build functional Proof of Concepts (POCs) for AI Agents that automate complex security workflows. This includes enhancement to server-side attack simulation logic using Node.js, MongoDB.
Work with Python and Node.js to develop innovative security solutions.
Translate new cloud attack techniques into logic that our AI can simulate and explain.
Collaborate with the development team to maintain and improve existing AI infrastructure.
Key Responsibilities:
Feature & API Integration: Own the end-to-end integration of new product features and capabilities into the company's master demo environment, leveraging and connecting various APIs to ensure smooth data flows.
Attack Flow Validation: Design, script, and continuously validate realistic cyber attack scenarios and security flows to ensure the demo perfectly highlights our products value proposition.
Environment & Server Maintenance: Maintain, troubleshoot, and optimize the demo infrastructure-including server setups, containers, cloud environments, and scripts-to guarantee 100% uptime and seamless performance during high-stakes client presentations.
Cross-Team Collaboration: Work closely with Product, Engineering, and Sales Engineering teams to translate complex technical updates into clear, repeatable, and impactful demo scenarios.

Required Exposure Analyst (Customer-Facing)
About us:
We are a leading hybrid cloud security company thats changing the way organizations approach cyber risk. We transform exposure management by showing our customers exactly how attackers might combine misconfigurations, vulnerabilities, and identity exposures across cloud and on-prem environments to compromise critical assets. With us, our customers can see all the ways attackers might get in-and the best ways to stop them with a fraction of the effort.
About You & The Role:
Are you someone who loves connecting with people just as much as you love talking tech? We are looking for a highly empathetic, customer-focused Exposure Analyst to join our managed services team. In this role, youll be the friendly face and trusted advisor helping our premium customers get the absolute best out of the platform.
Youll dive deep into security postures, translate complex attack paths into simple, actionable steps, and build the kind of trust that makes IT and Security teams excited to work with you.
Responsibilities:
Be the Trusted Advisor: Own the primary technical relationship for a portfolio of enterprise and mid-market customers, establishing yourself as their go-to security partner representing us in the customers organization.
Daily Posture Reviews & Action: Conduct daily reviews and analyses of your customers' security postures using the platform. You'll turn complex findings into clear, risk-based insights and proactively open remediation tickets.
Weekly Check-ins & Deep Dives: Lead engaging weekly calls with your customers, hosting targeted deep-dive sessions to guide them on configuration, best practices, and new features to ensure optimal ROI.
Bridge the Gap: Drive remediation outcomes by pushing discussions directly with the customers IT, DevOps, and Cloud teams-not just their security teams-helping them prioritize efforts based on attack path analysis.
Deliver the Big Picture: Proactively track progress and provide monthly reports to both technical and executive stakeholders. Youll also co-host Executive Business Reviews (EBRs) alongside our Customer Success team.
Champion the Customer: Act as the lead technical escalation point, partnering with our internal R&D, Product, and Support teams to make sure your customers' needs are always heard and resolved.

You will build globally distributed, fault-tolerant, and highly scalable identity threat detection systems that analyze billions of authentication events per day to detect sophisticated Active Directory attacks, credential theft, and lateral movement across hybrid and multi-cloud (Azure/Entra, Okta, AWS) environments. You'll design, lead, and implement the next generation of CrowdStrike's Identity Protection detection platform - evolving it from on-prem appliances toward cloud-native, event-streaming microservices.

What You'll Do

Design and implement real-time detection rules and pipelines over high-throughput Kafka event streams, maintaining sub-second detection latency at massive scale.

Build the pluggable detection engine and rule framework that turns raw authentication telemetry into indicators, and indicators into enriched, customer-facing alerts.

Develop machine-learning and behavioral-anomaly models, and integrate LLM-based detection reasoning (e.g. AI-driven severity scoring) into production detection flows.

Translate security research into production-grade detections, partnering with security researchers who guide you on the threat landscape.

Own detections in production: observability, latency SLOs, safe per-customer rollouts (feature-flag-gated), and incident response for the detection pipeline.

Work across a polyglot stack - Python for detection logic and ML, Go for the high-performance streaming services, Java for backend alert management.

We are looking for an experienced malware researcher to join the team.
As a Malware Researcher, you will perform research on source code, compiled code, and various software supply chain attacks. The position requires proven experience in security nomenclature and an understanding of both high-level and low-level attacks.

As a Malware Researcher you will... 
Research malicious code in public repositories from various coding languages and technologies.
Define and implement ways to automatically detect malicious code in open-source software.
Write technical reports and outward-facing publications regarding all research subjects mentioned above.

Were looking for a Fraud Data Analyst who combines deep technical analytical skills with a strategic mindset and a curiosity for identifying fraud signals and driving trust in the fintech domain. Youll partner closely with product, engineering, and support teams to turn complex data into automated detection models, scalable protocols, and measurable business protection.
As a Fraud Data Analyst, you will be responsible for safeguarding the platform by identifying, investigating, and mitigating fraudulent activity. Your goal is to move beyond manual ticket handling by architecting scalable investigation protocols, automating detection logic, and providing strategic data insights that reduce the teams dependency on manual intervention.
Responsibilities
Lead complex transactional data into insights for suspicious patterns.
Design and maintain Standard Operating Procedures (SOPs) for fraud investigations to ensure consistent, repeatable, and fast resolution times across the team.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders - Product, BE, etc. influencing both tactical and strategic decisions.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Were looking for a top-notch Threat Detection Researcher to join our team and spread our power. In this role, you will further develop the Runtime Sensor as part of our threat research team.
WHAT YOULL DO
Develop detections and tools to protect customers from cloud threats
Investigate attacks on cloud environments and malware targeting cloud and AI workloads
Hunt and analyze real-world attacks and emerging cloud and AI threats
Collaborate closely with the R&D team to transform research insights into product features
Work with customers in response to requests related to suspicious activity or potential incidents
Create best practices and security policies based on research findings
Deliver external-facing content (blog posts and talks at security conferences) based on security insights and novel research.

We're looking for a Threat Detection Researcher to join the Threat Research team and spread our 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.

We're looking for a Security Engineer - Product to spread our power. The ideal candidate will have experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. Youll get to collaborate with our software development and DevOps teams to secure our products, CI/CD infrastructure, and production infrastructure. Youll also have the opportunity to influence our product roadmap to assess, monitor, and harden our environments.
WHAT YOULL DO
Lead threat modeling and security review exercises across our production and CI/CD environments - identifying and mitigating risks in our products and the cloud services that support them
Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls
Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents
Collaborate with our Federal team - extending our DevSecOps and Product Security practices to our FedRAMP environment and ensure it meets key security requirements
Build deep functional partnerships with our engineering and operations teams - helping them deliver secure-by-design solutions .

Were looking for a Pentest Product Associate to join our Product team and help expand our power.
In this pivotal role, you will be the primary operator of our cutting-edge AI-driven Dynamic Application Security Testing (DAST) agent while simultaneously innovating detection mechanisms for cloud-native technologies.
You will bridge the gap between automated AI testing and cloud infrastructure, defining the "rules of engagement" for our agents to ensure they effectively simulate sophisticated attacks and accurately classify the modern attack surface.
WHAT YOULL DO
Engineer Detection & Attack Logic: Develop advanced detection algorithms to classify cloud technologies while fine-tuning the attack policies that define how our agents identify and exploit vulnerabilities.
Validate Complex Findings: Analyze cloud services, APIs, and log payloads to review complex attack paths, reducing false positives and ensuring compliance with industry standards.
Research Novel Threats: Stay at the forefront of novel attack vectors and emerging cloud/API threats, translating new techniques into executable behaviors for the DAST engine.
Drive Product Evolution: Collaborate directly with Research, Backend, and R&D teams to turn operational insights into feature requests, positioning us as the market leader in vulnerability management.

We are looking for an experienced Incident Responder to join our newly established team in Israel, and spread our power!
WHAT YOULL DO
Investigate real-world cyber-attacks on customers cloud environments and cloud workloads, understanding their root causes and the full scope of compromise, leveraging the platform.
Perform proactive threat hunting to identify undetected cyber-attacks and cloud threats within customer environments.
Collaborate with customer teams during engagements to effectively respond to threats.
Develop and deliver professional engagement reports, including high-level summaries and deep dives into technical findings.
Develop and document incident response methodologies, best practices, and standard operating procedures tailored to cloud environments and cloud workloads.
Collaborate with the threat research and engineering groups to refine and enhance incident response detections, tools, and features, based on real-world investigation experiences.

Were looking for a top-notch Detection Software Engineer to join our Threat Research team and further develop the Runtime Sensor. In this role, you will work on a world-class runtime security solution affecting some of the largest cloud workloads, collaborating closely with engineering and research to enable new and better threat detection capabilities.
WHAT YOULL DO
Work on a world-class runtime security solution affecting some of the largest cloud workloads
Work closely with engineering and research to enable new and better threat detection capabilities
Build and extend our research infrastructure, automated testing infra and release processes
Conduct research and develop new detection capabilities, from concept to implementation
Constantly shift things from an art to a science - make the hard things easy, fast and scalable
Quickly address gaps and changes when needed. Bias towards action
Analyze, debug and solve problems in test, staging and production environments
Create and enforce best practices and security policies
Work with customers in response to requests and questions when needed.

We're looking for a talented Applied Security Researcher to join our team and play a major role in our frontier research team, enabling contextual code understanding across complex cloud deployments.
WHAT YOU'LL DO
Investigate the Code, Cloud, and AI technologies that we integrate with and protects, answering key research questions to unlock new features and product areas.
Design and build high-quality functional prototypes, driving abstract product ideas from inception into working PoCs and supporting development teams through initial implementation.
Conduct technical research to model risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Define and implement novel agentic workflows and advanced methods to express consistent contextual understanding of evolving application and cloud environments.

We're looking for a talented AI Security Researcher to join our team and play a critical role in our foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
WHAT YOULL DO
Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.

Our Security Operations (SecOps) team is seeking an experienced Security Operations and Incident Response Analyst to elevate our active defense capabilities. In this role, you will take a hands-on approach to our daily threat detection mission actively monitoring and triaging alerts while identifying creative ways to automate the security lifecycle.
This role is ideal for a seasoned analyst who has mastered the fundamentals of security monitoring and is ready to apply those insights to cloud security and detection engineering. You will be an active participant in our daily monitoring operations, using that front-line visibility to proactively tune our alerting logic, eliminate noise, and build higher-fidelity detections.
Working within a collaborative, globally distributed team, you will partner with key stakeholders, hold a significant voice in shaping our tooling, and follow a structured career progression tailored to your professional growth.
What You'll Be Doing:
Monitor & Respond - Serve as a key responder across our cloud and corporate environments, actively triaging alerts, investigating active threats, collecting evidence, and driving incidents to swift containment.
Analyze Cloud Risks - Investigate cloud-native alerts, analyzing infrastructure context and telemetry to isolate, validate, and remediate active risks.
Collaborate Cross-Functionally - Partner with internal engineering and infrastructure teams when needed to coordinate containment, remediation, and post-incident root-cause analysis.
Optimize Detections & Playbooks - Collaborate with senior engineers to tune alerting logic, suppress noise, and develop higher-fidelity detection rules, while identifying opportunities to optimize automated playbooks for alert enrichment and triage.