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we are seeking a Senior Security Researcher to join our highly technical product research team working at the core of our security products.
This is a rare opportunity to join an elite security research team and do work that directly shapes our AI and Cloud products. Your research will span cloud infrastructure, AI systems, emerging platforms, and modern architectures.
You will perform novel security research, inform product direction, and contribute to our company's thought leadership in cloud and AI security.
We are looking for an exceptional security researcher who thrives on variety and can quickly develop expertise in new areas.
Your Role:
Drive research direction across multiple domains including cloud security, AI security, and emerging threat landscapes.
Perform novel security research to uncover new attack vectors, and adversary techniques across cloud and AI systems.
Translate research findings into actionable product capabilities, detection logic, and risk prioritization guidance.
Stay current with evolving threats across cloud platforms and AIecosystems, identifying where our company should invest next.
Write and speak about security research to strengthen our company's voice in cloud and AI security.
Collaborate with product and engineering teams to translate research into shipped capabilities.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.

We are looking for highly capable Incident Response Expert. The Incident Response Expert role includes conducting in-depth forensic analysis, investigation and response to real-world cyber threats. A significant part of our investigations is performed onsite at the client location, in collaboration with the clients IT and security teams.
Main Responsibilities:
Participate in forensic and incident response investigations, including large scale sophisticated attacks, conduct log analysis, host and network-based forensics and malware analysis.
Participate in threat hunting: proactively hunt for targeted attacks and new emerging threats in clients networks; as well as security assessments and simulations.
Identify indicators of compromise (IOCs) and tools, tactics, and procedures (TTPs) to help ascertain whether and how breaches have occurred.
Utilize and develop tools and methodologies to improve our existing investigative and hunting technological stack.
Collaborate with IT and Security teams during investigations.
Generate and present a comprehensive and professional report of findings from investigations.

We are looking for a Threat Intelligence Researcher to join its Threat Intelligence Group and support the companys Cyber Threat Intelligence Exposure Management (CTIEM) services, Incident Response engagement and proactive services. In this position, you will identify, investigate, and monitor external cyber threats and organizational exposures across the open web, dark web, social media platforms, and other intelligence sources. You will help organizations understand and reduce their external attack surface, detect brand abuse and malicious activity targeting their assets, and develop innovative intelligence-driven monitoring capabilities leveraging automation and AI technologies.
The successful candidate should be a creative, highly motivated, and independent researcher with strong analytical skills, a deep understanding of attacker methodologies, and a passion for solving complex intelligence challenges. As part of the role, you will engage with clients, support operational teams, and contribute to the development of cutting-edge CTIEM capabilities.
Main Responsibilities:
Conduct proactive monitoring and investigations across the open web, dark web, forums, marketplaces, messaging platforms, and social media channels to identify threats targeting client organizations.
Analyze organizational exposure across external attack surfaces, including internet-facing assets, leaked information, exposed services, and emerging risks.
Investigate and identify brand abuse activities, impersonation attempts, phishing campaigns, fraudulent domains, and other malicious activities targeting clients.
Detect and assess data exposures and information leaks through a variety of intelligence sources, commercial platforms, and proprietary tools.
Utilize Attack Surface Management (ASM) platforms and related technologies to identify, prioritize, and assess external security exposures.
Develop and enhance intelligence collection, detection, and monitoring capabilities through automation and AI-driven solutions, primarily using Python.
Produce comprehensive intelligence reports, exposure assessments, and actionable recommendations for clients and internal stakeholders.
Engage directly with clients to present findings, explain risks, and support remediation efforts.
Collaborate closely with Incident Response teams to support ongoing investigations.

We are looking for talented hackers to join our unique Adversarial Tactics Department. As a Red Team Expert ,you will work with clients to build their resiliency, i.e their capability to prevent and to sustain attacks. You will also be involved in IR engagements with companies that were attacked by adversaries, learn new TTPs and apply those in Red and Purple team engagements.
Your responsibility as a Cyber consultant is to bring the attackers perspective to engagements. You will help design, create and execute Adversary Simulation exercises, and perform attacks against client services, platforms and infrastructure. This will include, among other things, identifying vulnerabilities through simulated external and internal attacks, validating and enhancing an organizations ability to respond and recover from targeted attacks and persistent adversaries.

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.

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.

We are looking for a Senior Product Security Engineer to own and evolve our Application and Cloud Security programs end-to-end. You'll embed security early in the development lifecycle, drive automation-first security practices across engineering, and partner closely with DevOps and product teams to keep our platform secure by design - from code to cloud.

What Youll Do
Responsibilities:
Own, maintain, and continuously improve the Secure Design Review process, ensuring security considerations are integrated early in the development lifecycle.
Develop, implement, and maintain our Application Security Program, including controls, standards, developer enablement, and automation - managing SAST and DAST tooling, integrations, alerting, and program-wide reporting.
Develop and maintain our Cloud Security Program, defining guardrails, policies, and automated controls for secure-by-default cloud deployments, including CSPM tooling, findings triage, and alignment with internal risk and compliance processes.
Monitor and enforce SDLC security controls, ensuring consistent application of secure development practices across all engineering teams.
Partner with DevOps to design, implement, and maintain a fully secured CI/CD pipeline, embedding security checks, guardrails, and automated gates throughout build, test, and deployment stages.
Collaborate closely with engineering teams to deliver actionable guidance, model threats, advise on architecture, and support secure implementations.
Identify gaps in product, application, and cloud security posture, and drive end-to-end remediation and vulnerability management campaigns.
Define and track KPIs, metrics, and reporting for application and cloud security health.
Drive automation-first approaches to product and cloud security, reducing friction and enabling fast, safe development, while promoting a culture of security and developer empowerment.

Were looking for a highly skilled Junior Offensive Security Researcher to find new attack vectors, from initial exploitation to impact in the emerging world of Agentic AI, LLMs, and their surrounding ecosystem.

This role is ideal for researchers who are passionate about breaking new ground in the growing world of AI and impacting the future landscape of our products.

What Youll Do:

Responsibilities:
Research emerging agentic technologies and uncover new exploits, attack vectors and risks. From initial exploitation to impact.
Build tooling, harnesses, and test frameworks to scale attack discovery and make research repeatable. And contribute to internal red team infrastructure.
Investigate the surrounding ecosystem, not just the model. This includes: plugins, connectors, MCP servers, orchestration frameworks, and different types of infrastructure. Mapping how weaknesses in one component can develop into full compromise.
Work with product and engineering to translate offensive findings into new defense capabilities.

We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving us toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.

We are seeking an experienced Researcher to join our team dedicated to Android malware research. This role presents an exciting opportunity to conduct comprehensive malware analysis, detect emerging threats, and contribute to our understanding of the Android threat landscape. The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player with strong technical skills in Android malware analysis. Key Responsibilities:
* Conduct in-depth Android malware research and reverse engineering
* Detect and document emerging Android malware trends and attack vectors
* Analyze Android applications for malicious behavior
* Write detection rules and develop automation processes for Android malware identification
* Collaborate with team members and share knowledge across departments
* Perform static and dynamic analysis of Android malware samples
* Document findings and contribute to threat intelligence reports
About us:
A trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

We are seeking to hire a Technical Fraud Threat Analyst to join the Fraud team. In this role, you will research, evaluate, and analyze fraud detection mechanisms, abuse vectors, and platform vulnerabilities across a wide range of online services. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations, and identify emerging fraud tactics and behavioral vulnerabilities. In addition to research and analysis, you will leverage technical tools and infrastructure to support investigations, simulate real-world abuse scenarios, and enable scalable fraud research. Your work will culminate in actionable intelligence and mitigation recommendations for clients. Key Responsibilities:
* Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the dark web).
* Design and execute fraud research methodologies, including technical validation of abuse scenarios.
* Build, maintain, and operate research environments and technical tooling that support fraud investigations and red team activities.
* Analyze large datasets, telemetry, and technical artifacts to uncover patterns and deliver actionable insights.
* Develop or leverage automation to improve research workflows and increase operational efficiency.
* Monitor third-party websites and channels for malicious activities and fraud risks.
* Prepare detailed reports with findings, insights, and actionable recommendations.
About us:
A trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

We are seeking to hire a Fraud Threat Analyst to join the Fraud team. In this role, you will be responsible for researching, evaluating, and analyzing fraud detection mechanisms and vulnerabilities across various platforms and solutions. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations to identify fraud risks, and monitor online platforms to detect malicious activities. You will also focus on uncovering fraud tactics, behavioral vulnerabilities, and process bypasses while delivering actionable mitigation recommendations to clients.
Key Responsibilities:
* Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the darknet).
* Analyze large datasets to uncover patterns and deliver actionable insights.
* Monitor third-party websites and channels for malicious activities and fraud risks.
* Prepare detailed reports with findings, insights, and actionable recommendations.
About us:
A trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

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.