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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.

We are looking for a top-notch Security Researcher, to resolve the toughest issue in cybersecurity: utilizing terabytes of data for detecting attacks, incident investigation and prioritizing threats, while leveraging LLM capabilities to automate investigation procedures.
Responsibilities:
Threat Analysis and Research: Dive deep into terabytes of data to identify new attack vectors, emerging threats, and vulnerabilities across various attack surfaces. Stay up-to-date with the latest cybersecurity trends and contribute to the development of cutting-edge threat detection methodologies.
Incident Investigation: Utilize your technical prowess to investigate complex security incidents, analyzing data from diverse sources to uncover the root causes and methods of attack. Collaborate with incident response teams to develop effective strategies for containment and mitigation.
False Positive Reduction: Leverage your expertise in data analysis and correlation to fine-tune detection rules and algorithms, minimizing false positives and enhancing the accuracy of our platform's threat alerts.
Thought Leadership and Community Engagement: Drive thought leadership initiatives by creating technical blog posts, delivering webinars, and speaking at conferences to share insights, educate the community, and enhance the company's reputation in the cybersecurity landscape.
Be at the forefront of the mission and work closely with customers regarding cyber security investigations and incidents detected in their environments

As an Asset Intelligence Research Manager, 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.

: Were looking for a hands-on AI Cyber Intelligence Engineer - in the domain of attack surface. Someone who lives and breathes cyber security, loves exploring how attackers move through real environments, and is excited to shape how AI can automate and extend that process.
In this role, youll analyze real-world environments, identify potential attack vectors, and work closely with our AI engineering teams to translate your domain expertise into actionable, intelligent workflows. Youll play a key role in guiding how our platform learns to think and act like a top-tier security analyst.
The Dream-Maker Responsibilities
Design and shape AI-driven security agents by encoding expert attacker and defender reasoning into agentic flows, prompts, decision logic, and investigative strategies.
Translate offensive security and red-team expertise into structured knowledge that enables AI systems to identify, prioritize, and reason about real-world attack paths in complex enterprise environments.
Model attacker behavior and multi-step attack scenarios, focusing on lateral movement, privilege escalation, and cross-domain exploitation - and guide how AI agents simulate and evaluate these scenarios.
Act as a domain expert partner for product and engineering teams, ensuring AI-driven security decisions remain grounded in real attacker tradecraft and operational reality.