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Experience Level
Manager
Qualifications
ResponsibilitiesTeam Leadership: Manage and mentor a specialized team of researchers, ensuring effective task prioritization and fostering professional growth.AI Integration: Deploy AI and Large Language Model (LLM) driven workflows to automate asset identification, fingerprinting, and technical documentation parsing.Cross-Functional Synergy: Serve as the primary technical liaison among Research, Product (CAM/OT), and Engineering teams to translate research findings into actionable product features.Technical Deep Dives: Guide research initiatives focused on network protocols (TCP/IP) and device signatures to enhance discovery and classification engines.Data-Driven Strategy: Utilize Python and SQL to analyze extensive datasets, identify emerging asset patterns, and develop functional research scripts.Minimum QualificationsLeadership Experience: Demonstrated experience in leading a team or squad in a fast-paced environment, such as a technology company or military command.Protocol Expertise: In-depth, packet-level knowledge of TCP/IP, common network protocols, and traffic analysis using tools like Wireshark.Technical Toolkit: Proficiency in Python for research scripting and automation, and SQL for complex data queries.Preferred QualificationsAI/LLM Implementation: Experience in leveraging AI for automating data classification or technical research workflows.OT Exposure: Relevant experience or strong familiarity with OT/Cyber-Physical assets (e.g., PLCs, sensors) and cloud environments.Asset Management Expertise: Previous experience in Cyber Asset Management (CAM) or specialized vulnerability research.Data-Driven Methodology: Ability to create functional research scripts and derive insights from large, unstructured datasets.Scale-Up Experience: Proven track record in enhancing team efficiency and productivity during scaling phases.
About the job
As an Asset Intelligence Research Manager, you will spearhead a dynamic research team focused on unraveling the intricate 'DNA' of enterprise assets, ranging from cloud instances to industrial operational technology (OT). Your role will encompass bridging the divide between extensive technical research and product innovation for our Cloud Asset Management (CAM) and Cyber-Physical Asset (CPA) lines. You will facilitate the shift from manual research methodologies to large-scale AI-automated intelligence in a collaborative environment.
About Axonius
Axonius is a leading cybersecurity asset management platform, specializing in delivering comprehensive solutions for visibility and control over enterprise assets. Our innovative approach integrates AI and advanced research methodologies, enabling organizations to effectively manage their cyber assets and mitigate risks in an increasingly complex digital landscape.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Manager
Qualifications
ResponsibilitiesTeam Leadership: Manage and mentor a specialized team of researchers, ensuring effective task prioritization and fostering professional growth.AI Integration: Deploy AI and Large Language Model (LLM) driven workflows to automate asset identification, fingerprinting, and technical documentation parsing.Cross-Functional Synergy: Serve as the primary technical liaison among Research, Product (CAM/OT), and Engineering teams to translate research findings into actionable product features.Technical Deep Dives: Guide research initiatives focused on network protocols (TCP/IP) and device signatures to enhance discovery and classification engines.Data-Driven Strategy: Utilize Python and SQL to analyze extensive datasets, identify emerging asset patterns, and develop functional research scripts.Minimum QualificationsLeadership Experience: Demonstrated experience in leading a team or squad in a fast-paced environment, such as a technology company or military command.Protocol Expertise: In-depth, packet-level knowledge of TCP/IP, common network protocols, and traffic analysis using tools like Wireshark.Technical Toolkit: Proficiency in Python for research scripting and automation, and SQL for complex data queries.Preferred QualificationsAI/LLM Implementation: Experience in leveraging AI for automating data classification or technical research workflows.OT Exposure: Relevant experience or strong familiarity with OT/Cyber-Physical assets (e.g., PLCs, sensors) and cloud environments.Asset Management Expertise: Previous experience in Cyber Asset Management (CAM) or specialized vulnerability research.Data-Driven Methodology: Ability to create functional research scripts and derive insights from large, unstructured datasets.Scale-Up Experience: Proven track record in enhancing team efficiency and productivity during scaling phases.
About the job
As an Asset Intelligence Research Manager, you will spearhead a dynamic research team focused on unraveling the intricate 'DNA' of enterprise assets, ranging from cloud instances to industrial operational technology (OT). Your role will encompass bridging the divide between extensive technical research and product innovation for our Cloud Asset Management (CAM) and Cyber-Physical Asset (CPA) lines. You will facilitate the shift from manual research methodologies to large-scale AI-automated intelligence in a collaborative environment.
About Axonius
Axonius is a leading cybersecurity asset management platform, specializing in delivering comprehensive solutions for visibility and control over enterprise assets. Our innovative approach integrates AI and advanced research methodologies, enabling organizations to effectively manage their cyber assets and mitigate risks in an increasingly complex digital landscape.