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We're looking for a Security Engineer - Product to spread the 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 by utilizing our platform to assess, monitor, and harden our environments.
Responsibilities:
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.

We're looking for a Senior Security Engineer to own and elevate the security posture of our
cloud-native, AI-driven SaaS platform. Reporting to the Director of DevOps, you'll be the technical
anchor for security across our product, infrastructure, and organization - combining hands-on
engineering with the strategic judgment to translate risk into clear, actionable priorities.
This is a high-ownership role for someone who can operate end to end: threat modeling a new feature
in the morning, hardening cloud infrastructure in the afternoon, and briefing leadership on risk posture
by the end of the week. As we scale our platform and deepen our use of AI/ML, you'll define how we
build, ship, and operate securely - often standing up programs and controls that don't yet exist.
You'll work cross-functionally well beyond engineering, partnering with Customer Success, Marketing,
Finance, and Legal to make security a shared, business-aware practice rather than a gate at the end of
the line.

What You'll Do
Own the day-to-day security engineering function across cloud infrastructure, application, and data
layers.
Lead threat modeling, penetration testing, and vulnerability management across the product and
platform lifecycle.
Design, implement, and continuously improve cloud security controls across AWS, GCP, and/or
Azure environments.
Assess and secure our AI/ML systems, addressing the unique risks they introduce - from data
pipelines to model and LLM behavior.
Drive compliance readiness and audit support for frameworks such as SOC 2, ISO 27001, and
GDPR.
Embed security into the SDLC and CI/CD pipelines, partnering closely with DevOps and engineering
teams.
Translate technical risk into clear business and board-level language, and advise leadership on
prioritization and trade-offs.
Partner cross-functionally with non-engineering teams (Customer Success, Marketing, Finance,
Legal) to build security awareness and practical, low-friction controls.
Lead or support incident response, including detection, containment, remediation, and post-incident
review.

We are looking for an Senior/Staff Application Security Engineer who will ensure the security of our software by identifying and mitigating vulnerabilities, implementing best security practices, and collaborating with development teams. The ideal candidate will have a strong background in secure coding, threat modeling and building Secure SDLC.

What you will do
Build and maintain Application Security Posture Management (ASPM) at the Company scale.
Automate and support SAST, SCA tools, etc as part of CI/CD pipelines.
Improving SAST, secrets detection rules. Keeping false positive rate low.
Identify, analyze, and remediate application security vulnerabilities.
Collaborate with development teams to integrate security best practices into the software development lifecycle (SDLC).
Develop and maintain secure coding guidelines for development teams.
Conduct, run threat modeling and risk assessments for new and existing applications.
Provide development teams with instruments that facilitate security-related work like threat modelling, vulnerability detection, etc.
Stay updated on the latest security threats, vulnerabilities, and mitigation techniques.
Serve as an application security subject matter expert to other teams.

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.

Lead the design, implementation, and management of security controls across three critical domains: Endpoint Security, Identity & Access Management, and AI Security, safeguarding Palo Alto Networks' global infrastructure with a Zero Trust approach.
Key Responsibilities
Design, build and implement enterprise security capabilities to protect Palo Alto Networks global infrastructure
Develop strategies to maintain security architecture, prevent unauthorized access, and ensure identity governance across the enterprise
Establish, maintain, and enforce hardened security baselines for Endpoints, Identity, and AI tools
Lead AI security governance, define controls, policies, and threat models for safe enterprise adoption of AI tools and models
Evaluate and secure AI-related data flows, including prompt injection risks, model access controls, and data exfiltration vectors
Implement and manage Identity Security, Endpoint security, and Access Management capabilities with a Zero Trust approach
Design and enforce endpoint hardening strategies across managed and unmanaged devices, endpoint DLP controls, drive mobile security and BYOD posture management
Be the first customer for Palo Alto Networks products and provide practitioner feedback to the product teams
Perform threat modeling and security architecture reviews for complex enterprise systems, infrastructure, and third-party integrations
Work with Security Operations team to investigate identity and endpoint breach incidents, identify root cause and provide appropriate remediation or risk reduction plans
Collaborate with legal and governance, risk and compliance (GRC) teams to ensure adherence to Identity and data protection regulations
Evaluate ongoing practices and procedures, technical documentation, and diagrams for appropriate security measure maturity and effectiveness
Lead hands-on POCs and technology evaluations with rigorous benchmarks; champion adoption with a collaborative team mindset
Be a strong thought leader and clearly communicate and build support for your ideas.

As a Security Operations Engineer , you will be a core member of the SecOps team, owning incident detection, triage, and response across infrastructure and enterprise browser platform. You will work closely with the SecOps Lead to mature our IR capabilities, build the automation and tooling that power our operational workflows, and help keep and its customers ahead of real-world threats.

This is a hands-on, build-and-operate role - ideal for someone who is equally comfortable writing a detection rule, investigating a live incident, and shipping a Torq workflow before end of day.

Key Responsibilities

Incident Response: Lead and participate in the full incident lifecycle - detection, triage, investigation, containment, and post-mortem. Own runbooks and ensure they reflect current threat landscape and tooling.
Detection Engineering: Develop, tune, and maintain detection rules across SIEM, EDR, and security audits. Minimize false positives; maximize signal value.
Security Automation: Build and improve automated response workflows using platforms like Torq; reduce manual toil on alert triage, enrichment, and escalation paths.
Threat Monitoring & Hunting: Continuously monitor the environment for anomalies and indicators of compromise; proactively hunt for threats aligned to our threat model.
Cloud Security Operations: Investigate and triage findings from cloud-native security tooling (Wiz, AWS CloudTrail); collaborate with engineering teams on remediation of infrastructure-level issues.
Tooling & Integrations: Contribute to the ongoing development of the SecOps toolchain - integrating alert sources, building dashboards, and improving the Jira-based alert center.IR Documentation: Maintain incident.io flows, response playbooks, and post-incident reports; contribute to the team's runbook hub.

Were seeking a Senior Application Security Engineer who is first and foremost a teacher, advisor, and enabler for our development teams.
Rather than owning security alone, youll embed secure-by-design thinking across engineering by mentoring developers, guiding architecture decisions, and making secure development intuitive and frictionless.
Youll serve as the go-to partner for developers and engineering leaders, offering clear direction, practical solutions, and hands-on mentorship that strengthens our secure SDLC.
Who You Are:
A proactive self-starter with deep expertise in application and cloud security
Passionate about secure development and enabling engineers through thoughtful guardrails
Clear and confident communicator who can influence across technical and non-technical teams
Curious about emerging threats and excited by the challenges of blockchain security
Committed to excellence, with a strong sense of ownership and a drive to build secure systems that scale

we are looking for a talented Application Security Specialist to join our team. In this role, you will take an active part in application penetration testing, threat modeling, Secure SDLC activities, and AppSec initiatives that help evaluate and improve security posture. The position includes hands-on security testing of web, mobile, API, thick client, AI/LLM integrations, and MCP-based application components, identifying and validating vulnerabilities, assessing real business impact, supporting customers with clear remediation guidance, and contributing to application security processes, tools, and best practices.
Responsibilities:
Perform hands-on application penetration testing across web, mobile, API, thick client, AI/LLM integrations, and MCP-enabled application components.
Perform threat modeling and secure design reviews to identify risks early in the development lifecycle.
Support development teams with practical remediation guidance and secure implementation recommendations.
Perform Secure Software Development Lifecycle and secure coding training for developers.
Evaluate and improve customers application security development lifecycle, including secure coding practices, vulnerability management, remediation workflows, and security gates.
Participate in client-facing discussions, including assessment scoping, finding walkthroughs, remediation alignment, and retest updates.

We are seeking an MDR Security Engineer to own and scale the automation layer that powers our global MDR operations. This role is responsible for building and operating production-grade automation systems that reduce manual workload, improve detection quality, and enable consistent, high-quality incident response.
The ideal candidate is a hands-on engineer with strong experience in SOAR platforms, security operations, and automation design, capable of driving measurable improvements in efficiency, reliability, and response outcomes across a high-volume SOC environment.
Responsibilities
Upkeep the design, development, and lifecycle of SOAR playbooks, workflows, and integrations across the MDR platform
Build and operate production-grade automation systems supporting alert triage, enrichment, investigation, and response
Define and drive automation strategy by identifying high-impact, high-volume SOC processes and scaling them through automation
Develop integrations across SIEM, EDR/XDR, identity, cloud, and ticketing systems using APIs and scripting
Partner with MDR analysts, IR, threat hunters, and engineering teams to translate operational workflows into scalable automation
Improve detection and response quality through automation of enrichment, investigation, and containment workflows
Contribute to incident response and RCAs by delivering tooling that improves investigation speed, accuracy, and consistency
Evaluate and implement new automation capabilities, including AI-assisted workflows and data-driven decisioning
Monitoring, Metrics & Reliability Ownership
Define and own automation KPIs, including:
Automation coverage (% of alerts handled or augmented)
MTTD / MTTR improvement
False positive reduction and signal-to-noise improvement
Analyst time saved and throughput increase
Build and maintain dashboards and reporting to measure automation impact on SOC performance and SLAs
Ensure production reliability and stability of automation systems, including:
Monitoring workflow success/failure rates and execution latency
Tracking integration and API health, errors, and retry behavior
Implementing logging, alerting, and observability across automation pipelines
Continuously optimize workflows based on data, feedback, and operational performance to ensure consistent 24/7 MDR operation.

As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
our companys end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our companys reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company.

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.

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.

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.

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.
Check out some of our recent research:
PostgreSQL Cryptomining
SeleniumGreed Cryptomining Exploit Attack Flow & Remediation Steps
PyLoose: First Python-based Fileless Attack on Cloud Workloads
Responsibilities:
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 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.

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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.