דרושים » אבטחת מידע וסייבר » Research Team Lead

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.

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 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.
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.

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

We are looking for a strategic leader to evolve our Threat team into a comprehensive Deep Research Group
As the Head of Research, you will lead innovation across AI Security, Threat Intelligence, and Intelligence, transforming raw research into core platform differentiators. This is a pivotal leadership position responsible for delivering high-signal content and product-impacting discoveries that will directly influence our expansion into the enterprise market.
What You Will Build:
Deep Research Strategy:
You will oversee the creation of next-generation security modules derived from our unique runtime data, transforming raw telemetry into actionable defense mechanisms and automated workflows
Premium Intelligence:
You will drive the development of unique intellectual property and detection capabilities that allow us to launch differentiated, premium service offerings.
Market Impact:
Your group's research will serve as a growth engine, powering our PR, community credibility, and enterprise readiness for high-stakes environments.
Responsibilities:
Organizational Leadership:
Lead, mentor, and scale a diverse group, including the Threat Research Team, Offensive Research Team, AI Research & Innovation Team, and OSINT/Vulnerability squads
Strategic Delivery:
Oversee the lifecycle of major research initiatives, from initial discovery to full productization, ensuring deep technical findings are translated into user-facing value.
Proactive Hunting:
Drive a proactive hunting strategy, utilizing external scanning and internal signals to uncover emerging campaigns and validate novel threats before they become widespread.
Cross-Functional AI Integration:
Collaborate with the AI Lead and Engineering to integrate proprietary intel into our detection models and strengthen our AI-driven security architecture.

we are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by our company, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.

We're seeking a Senior Security Researcher & Team Lead to own and drive Zenity's security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just for Zenity, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

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.

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.

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.