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We are seeking a Security Research Team Leader to join our team of highly skilled professionals, which includes security researchers, operations analysts, and data scientists.
This team continuously hunts for threats, evaluates emerging attack vectors, and develops innovative detection techniques in the field of malvertising and advertising security. Our mission is to protect customers from attacks generated by malicious advertisements (malvertising).
What You'll Do:
Lead detection innovation. Design and implement new methodologies to identify and stop malvertising attacks before they reach end users.
Drive signal research. Research and develop signal-collection strategies across mobile and desktop environments to strengthen detection and enhance customer protection.
Expand scanning capabilities. Devise approaches to overcome bot detection mechanisms and ensure comprehensive website coverage.
Deliver customer impact. Understand customer-specific security requirements, translate them into actionable research, and consistently exceed expectations.
Map adversary behavior. Discover and document the tactics, techniques, and procedures (TTPs) employed by malvertisers and related threat actors.
Elevate data-driven detection. Create and validate data insights that enhance detection quality and drive measurable improvements in protection efficacy.
Share knowledge broadly. Publish security research through blog posts, internal knowledge bases, conference presentations, and external engagements - translating complex discoveries into clear, impactful narratives.
Hunt threats proactively. Identify malicious activity across the internet, reverse-engineer attack execution, and produce thorough technical documentation.
Stay ahead of the curve. Continuously monitor the cybersecurity landscape for trends, emerging threats, and developments relevant to our mission.
Mentor and lead. Contribute high-impact work that moves team-level metrics, while actively providing leadership, guidance, and mentorship to peers and junior researchers.
Build better tools. Develop techniques, scripts, and tooling to streamlne workflows and amplify the broader team's productivity.

we are seeking a highly motivated and talented XDR Research Engineer to join our XDR Research team. In this role, you will develop advanced detection logic to identify and analyze security threats across the company XDR platform. Leveraging the rich data available in the company Cloud data lake, you will conduct extensive research and threat-hunting activities to broaden our detection capabilities and proactively uncover previously unknown threats.
Your work will directly influence the evolution of our companys XDR capabilities and strengthen the security posture of thousands of global customers.
This is an exceptional opportunity for security professionals passionate about Network Security, Detection Engineering, Malware Analysis, and Threat Hunting who want to make a meaningful impact on a fast-growing cybersecurity environment.
Responsibilities
Develop advanced detection logic for the XDR platform to identify security threats.
Conduct research using our company Cloud data, competitive intelligence, and newly published threat reports to expand detection coverage.
Create hunting heuristics and methodologies to uncover unknown or emerging threats.
Continuously improve detection accuracy and enhance the platforms ability to identify threats in a dynamic security landscape.
Participate in cybersecurity breach investigations and security incident activities.
Contribute to technical blogs and PR materials, and participate in cybersecurity conferences.

Required Malware Researcher- CTI
The Dream Job
As a Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The Dream-Maker Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Are you passionate about dissecting the intersection of Identity, SAAS, and Cloud infrastructure? We are looking for a visionary Security Researcher to join our team and redefine how organizations understand and mitigate risks across their SaaS and Cloud ecosystems. In this role, you will be investigating the fundamental ways services are utilized and how their configurations can be exploited by modern adversaries. You will bridge the gap between abstract SaaS & cloud architecture and real-world attack execution, transforming complex research into actionable guidance. If you thrive on deconstructing TTPs and building the blueprints for resilient service usage, this is your opportunity to lead the charge in a world-leading cybersecurity company.
Key Responsibilities
Lead ongoing investigations into the risks associated with SaaS, Identity and Cloud platforms, focusing on how these services are integrated within broader environments.
Analyze the functional 'how-to' of cloud services to identify inherent risks and develop robust strategies for secure implementation and usage.
Stay ahead of the curve by researching real-world attacker methodologies and translating these behaviors into practical mitigation strategies.
Design and execute high-fidelity attack simulations in lab settings to observe adversarial behavior firsthand, specifically focusing on identity-based and SaaS.
Create comprehensive research outcomes that guide customers on how to use services securely from the ground up.
Foster a culture of excellence within a diverse team of experts, sharing insights that influence the next generation of cloud and identity security products.

Were looking for an experienced Network & Security Researcher to join our team. Youll investigate how modern networks behave at scale-diving deep into protocols, traffic patterns, and path performance-to design data-driven improvements that enhance reliability, efficiency, and user experience across our companys global network. Youll develop analysis tooling, run large-scale measurements on top of our big-data platform, and share findings internally and externally.
Responsibilities:
Build tools & pipelines: Develop analysis tools, datasets, and reproducible pipelines to support research at scale.
Deep protocol analysis: Perform in-depth studies of protocol behavior (TCP congestion control, QUIC/HTTP/3, HTTP/2, DNS, DHCP) including edge cases, timeouts, retransmissions, handshake dynamics, and head-of-line effects.
Network measurement & modeling: Analyze latency, jitter, loss, throughput, and path selection. Build models and KPIs that explain and predict performance.
Experimentation: Design controlled experiments and A/B tests; reproduce findings in lab environments (emulation/simulation) and validate on real traffic.
Collaboration with engineering: Translate research into product improvements and platform capabilities; deliver clear specs and reference implementations.
Communication & thought leadership: Publish results (internal reports, blog posts, talks), create visualizations, and-when relevant-contribute to community.

As a Security Research Team Leader, you will lead a high-impact research team dedicated to decoding the "DNA" of enterprise assets, from Cloud instances to Industrial OT. You will bridge the gap between deep technical discovery and product innovation for our CAM and CPA lines. You will drive the transition from manual research to AI-automated intelligence at scale within a collaborative environment.

Responsibilities
Team Leadership: Directly manage and mentor a specialized team of researchers, overseeing task prioritization and professional development.
AI Integration: Implement AI and LLM-driven workflows to automate asset identification, fingerprinting, and technical documentation parsing.
Cross-Functional Synergy: Act as the primary technical liaison between Research, Product (CAM/OT), and Engineering to translate findings into features.
Technical Deep Dives: Lead research into network protocols (TCP/IP) and device signatures to improve discovery and classification engines.
Data-Driven Strategy: Use Python and SQL to query massive datasets, identify emerging asset patterns, and build functional research scripts.