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.

our company's attack surface spans several distinct businesses: the engine and editor developers build on, a wide portfolio of cloud products and services, a large monetization business, and a growing set of AI-assisted creation tools. Code built with our company runs everywhere from a developer's workstation to billions of end-user devices, so targets range from native binaries to distributed cloud systems to AI pipelines, and findings here matter.
This role brings an attacker's mindset to that landscape: penetration testing and red team engagements built on complex attack chains. You would combine manual techniques with automation and tooling you develop as part of your craft, extending your reach across the company ecosystem.
What you'll be doing
Plan and execute objective-based penetration tests and red team engagements across our company's products, cloud services, and infrastructure
Find and validate exploitable vulnerabilities, chain them into realistic attack paths, and demonstrate impact with reproducible proofs of concept
Develop the automation and tooling that extend the team's offensive reach across the company ecosystem
Run joint exercises with the SOC and detection engineering teams to validate telemetry and improve detections
Deliver clear findings to engineering teams and surface recurring risk patterns to security leadership.

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 Security Researcher to join our research group as part of a growing team developing Autopilot, an innovative product for autonomous investigation and response.
As a core member of the team, you'll go beyond research: youll research, design, and develop investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Research and implement new autonomous methods for investigating and responding to targeted attackers, using large-scale, diverse security datasets
Develop and design the graph-based algorithms that power autonomous investigation and decision-making capabilities
Design automated incident response by developing reusable logic that transforms raw security data and alerts into clear, actionable insights.
Leverage graph algorithms, AI techniques, and statistical methods to mimic and scale human security analyst workflows
Conduct deep, hands-on investigations into modern malware, APTs, and complex attack flows to inform detection and response logic
Stay up to date with attacker methodologies, tools, and techniques (TTPs), ensuring our product remains effective against evolving threats
Contribute to a collaborative, fast-paced research team, helping shape our research strategy, improve processes, and continuously enhance the product.

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.

We're looking for a passionate Lead or Senior Offensive Security Engineer for our growing Offensive Security Automation team. This hands-on offensive security position requires a cyber security professional whose primary focus is to perform security assessments and vulnerability research using internal AI tools using frontier models, with a focus of designing and developing the AI automation and autonomous harnesses together with the team.
This is a role for someone who can perform offensive security testing at scale, combining deep security expertise with the judgment to direct and improve AI-driven tooling.

Key Responsibilities:

Offensive Security & Vulnerability Research (primary)

Perform security assessments and vulnerability research across web applications, APIs, and cloud/hybrid infrastructure, using internal AI tools and frontier models to scale coverage and depth that you will develop.

Make sure our internal solution can perform exploitation, vulnerability chaining, business logic and authorization abuse, privilege escalation, and lateral movement, beyond what automated tooling alone can find.

Run end-to-end engagements: scoping, execution, reporting, and remediation guidance.

Discover systemic/architectural weaknesses, not just isolated bugs, and drive secure-by-default fixes.

Partner with engineering, security architecture, and detection & response teams to close root causes and validate control effectiveness.

Produce high-quality technical reports with clear exploitation paths and prioritized remediation.


AI Automation & Autonomous Harness Design (secondary)

Develop the automation and autonomous harnesses that direct frontier models to perform offensive security testing continuously and at scale.

Design agent-based workflows that reason over large data, plan for risk signals, business logic and execute multi-step offensive testing that will adapt based on results, recon, hypothesis ranking, chaining of bugs exploitation, AI-Driven assessments, and reporting.

Establish human-in-the-loop checkpoints so automation scales offensive coverage without sacrificing safety or precision.

Translate your own tradecraft into reusable, explainable automation that the team can run and build on.

As a Product Security Architect , you will be responsible for designing, shaping, and evolving the security architecture of the Enterprise Browser. This role combines deep technical expertise with strategic thinking, focusing on proactively reducing risk through secure design, architectural reviews, and close collaboration with engineering and product teams. You will play a key role in defining security standards, guiding threat modeling efforts, and ensuring security is built into the product from its earliest design stages throughout its production lifecycle and evolutions.

Key Responsibilities:

Security Architecture & Design: Define and own product security architecture across browser components, OS integrations, and enterprise-facing features, ensuring security-by-design principles are consistently applied.
Threat Modeling & Risk Assessment: Lead threat modeling efforts for new features and architectural changes, identifying attack surfaces, trust boundaries, and mitigation strategies in collaboration with engineers and product leaders.
Security Reviews & Guidance: Perform architecture and design reviews, providing actionable security recommendations and guiding teams on secure implementation patterns.
Vulnerability & Attack Surface Analysis: Proactively assess systemic risks, design flaws, and high-impact vulnerability classes relevant to browsers and enterprise platforms.
Security Standards & Enablement: Develop and maintain security guidelines, patterns, and reference architectures; support teams in adopting secure coding and design practices.
Cross-Functional Collaboration: Partner closely with engineering, product, and product security leadership to balance security, usability, and performance tradeoffs.
Security Strategy & Innovation: Track emerging threats, exploitation techniques, and industry trends to continuously improve long-term security posture.

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.