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We are seeking a Principal/Senior Security Researcher to lead proactive research into emerging abuse patterns across agentic and modern endpoint environments. This includes browser extensions, SaaS- and web-delivered code, autonomous agents, MCPs and related tooling, and other forms of non-binary software that do not fit neatly into a traditional malware-focused model.
In this role, you will define and drive independent research initiatives rather than simply respond to predefined queues. You will conduct deep technical investigations, including reverse engineering, telemetry analysis, controlled experimentation, and data-driven validation, and translate your findings into actionable outcomes for the product. These may include detection concepts with clear success criteria, recommendations for new telemetry or platform behavior, and concise technical narratives for engineering, product, executive, or customer-facing audiences.
You will act as a senior research partner to engineering and product leadership, helping shape priorities around what to instrument, what to build, what to retire, and how to reason about ambiguous signals in production environments. The role requires strong technical judgment, strategic thinking, and the ability to turn complex research into evidence-backed product impact.
Key Responsibilities
Define and execute proactive research programs: novel attack surfaces (e.g., browser extensions, SaaS-delivered code, autonomous agents, MCP/tooling ecosystems), long-horizon threats, and systemic gaps in visibility or detection.
Perform deep technical analysis beyond routine triage: reverse engineering, behavioral modeling, data-driven hypothesis testing, and rigorous validation of findings at scale.
Set direction for how research translates into product and detection: prioritization frameworks, threat models, evaluation criteria, and standards of evidence for shipping high-impact changes.
Partner with senior engineering and product stakeholders to shape roadmap, telemetry, and architecture informed by research; influence design tradeoffs before issues appear in the field.
Lead complex, ambiguous investigations end-to-end and synthesize conclusions for executive and customer-facing audiences when stakes are high.
Represent the team through high-quality technical artifacts (e.g., in-depth publications, conference-quality work, or equivalent internal briefings) that establish external and internal credibility.

we are seeking a Senior Threat Hunting Researcher for Unit 42s Managed Services group, a senior hands-on role combining threat hunting, detection engineering, and incident investigation experience. You will proactively hunt across diverse telemetry to identify suspicious behaviors and emerging threats that evade traditional security. A key part of the role is translating low-fidelity signals into high-fidelity hunting logic and reusable detection opportunities. You will collaborate with multiple teams to share findings, explain coverage, and support response and improvement efforts.
Key Responsibilities
Proactively hunt for suspicious behaviors, malware activity, threat actor tradecraft, and emerging campaign patterns across large-scale customer telemetry.
Build, validate, and tune hunting and detection logic across multiple data sources and security products.
Translate low-fidelity signals, alerts, incidents, and coverage gaps into high-fidelity hunting content and reusable detection opportunities.
Investigate suspicious activity using available telemetry and clearly communicate findings, limitations, and recommended next steps.
Improve detection quality by reducing false positives, increasing signal fidelity, and identifying meaningful coverage gaps.
Collaborate with MDR, Incident Response, Threat Intelligence, Product, and Engineering to improve protection and operational scalability.
Deliver clear, evidence-based reports and technical findings that help customers understand risk and improve defenses.

Were looking for driven and talented people like you to join our team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As the Head of Research, you will lead Securitys threat-research, security-innovation, and vulnerability-discovery efforts. You will define the strategy for how we uncover threats, identify novel attack vectors, influence product direction, and contribute thought leadership to the cybersecurity community. You will manage and grow a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful. This role emphasizes strong people leadership and cross-functional execution, alongside technical depth and hands-on research judgment.
What youll do :
Develop, own and evolve the research strategy by defining high value focus areas (for example misconfigurations, identity threats, workload vulnerabilities, and emerging attack techniques), and ensure alignment with product roadmap and business objectives.
Lead, coach, and mentor a multidisciplinary research team (researchers, threat analysts, and engineers).
Build a healthy, high-performing org, including hiring, onboarding, and performance management.
Partner closely with product and engineering leadership to turn research insights into concrete roadmap items, detection logic, and customer value.
Drive discovery of new vulnerabilities, attack techniques, or adversary behaviors across cloud and modern infrastructure environments (for example containers, serverless, data stores, IAM).
Define metrics for research impact (for example vulnerabilities discovered, time to validate and operationalize new findings, research-driven product improvements, external reach).
Establish and maintain external partnerships (industry peers, academic groups, independent researchers) to expand capabilities and pipeline.
Publish and present research findings (blog posts, white papers, conference talks).
Lead vulnerability disclosure and responsible communications.
Ensure the research function has the right infrastructure and processes (tooling, sandboxes, repeatable experimentation, documentation standards).
Stay current with the threat landscape, emerging technologies, attacker tradecraft, and relevant compliance or regulatory shifts.

Are you an innovative security researcher with a deep understanding of Linux systems and a passion for protecting modern environments? Do you want to lead the charge in securing enterprise networks against the latest threats?
We're looking for a skilled professional to join our team, focusing on the critical and rapidly evolving fields of Linux Security. You'll be a foundational member of a new and growing team dedicated to the blue ocean of detection, developing multiple new capabilities within the largest cybersecurity enterprise in the world.
This is a unique opportunity to apply your expertise and influence the future of threat prevention-helping us build cutting-edge security solutions from the ground up.
Key Responsibilitie
Play a pivotal role in shaping the future of our security solutions.
Enhance product effectiveness by designing advanced protection components and developing sophisticated detection rules.
Research Linux OS internals, virtualized environments, and malware behaviors to inform and strengthen our attack prevention mechanisms.
Apply advanced AI and big data approaches to investigate and analyze large-scale datasets across our client base.
Lead research on novel protection concepts and bring them to production-grade quality, serving as a subject matter expert.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs targeting Linux systems.
Conduct static and dynamic reverse engineering of Linux malware to uncover new techniques and develop mitigation strategies.
Collaborate closely with engineering, product management, and other research teams to translate research findings into production features.

The Fraud Lead is the principal technical authority for fraud detection and response engine. You own the professional logic that powers our product, ensuring that the "Brain" of our platform is technically cohesive, scientifically rigorous, and market-leading.
You act as a System Architect for the fraud domain, connecting the dots between Research, Data Science, and Analytics. Crucially, you serve as the primary technical consultant for our customers, helping them understand, integrate, and optimize the fraud logic that protects their environments. You work alongside a separate Product group (who defines the roadmap) and a Platform Engineering group (who builds the infrastructure).
What youll do:
Technical Domain Architecture
Logic Blueprinting: Design the end-to-end technical logic for detection features-from telemetry ingestion to real-time response actions.
Cross-Team "Glue": Ensure that Fraud Research insights are effectively operationalized by the Data Science team and surfaced correctly by the Analytics team.
Architecture Governance: Set the technical standards for how detection logic is built, ensuring it is scalable and compatible with the Platform Engineering teams infrastructure.
Customer Fronting & Technical Advisory
Technical Subject Matter Expert: Act as the lead technical consultant for high-value customers. You will lead "deep-dive" sessions with client-side engineers and fraud experts to explain our detection methodologies and data requirements.
Integration Strategy: Advise customers on how to best leverage our technical logic within their specific business contexts.
Feedback Loop: Translate complex customer technical needs and "edge case" fraud patterns back into technical requirements for the internal fraud group.
Expert Implementation
Hands-on Prototyping: Remain an expert practitioner in Python and SQL. You will prototype new detection methodologies and perform technical validation of production models.
Quality & Observability: Design the technical frameworks that ensure our detection logic remains performant and observable in live customer environments.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

Were looking for a Data scientist Expert to join us and spread the power of our company. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at our company. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the companys security posture.
WHAT YOULL DO
Lead applied research on AI agents and LLM-driven features in the company platform - from autonomous threat investigation agents to AI-powered security operations workflows
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you.
We're looking for a Manager to lead a security research team for detection and response across cloud environments.
This is an opportunity to lead an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data , Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content.
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Represent the team and share insights with the security community through blogs, conference talks, and publications.

Are you passionate about using cutting-edge technology to help protect the world against cyber threats? Do you live and breathe the cyber security world? Do you want to take part in an innovative and disruptive AI security group that has an impact on many customers?
You will be part of a strong security research and data science team who solve highly complex security challenges using disruptive technologies, AI & ML algorithms and a lot of data.
As part of that, you will take part in the design and development of new groundbreaking AI security solutions which make a direct impact on many customers.
At our company we value diverse viewpoints and experiences, as we are solving complex cyber security challenges. We are committed to a safe and inclusive workspace.
Key Responsibilities
Be at the forefront of security innovation, building next-gen detection capabilities powered by AI, deep-learning, machine learning, big data, and deep threat intelligence.
Dive deep into low-level systems, reverse engineering, and file-type behavior to uncover novel attack vectors - and then turn that insight into scalable, ML-driven protections.
Work hand-in-hand with rockstar data scientists, engineers, and PMs in a fast-paced, collaborative environment where ideas move quickly from whiteboard to production.
Lead high-impact research initiatives that fuse classic security expertise with modern data science - shaping models, influencing pipelines, and driving real-world protection outcomes.
Be a key player in a multidisciplinary team where your deep security expertise will directly influence AI/ML model design, data pipeline strategy, and real-world product impact.