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.

Minimum Qualifications

Leadership Experience: Proven experience leading a team or a squad in a fast-paced environment (Tech company or Military command).
Protocol Expertise: Deep, packet-level proficiency in TCP/IP, common network protocols, and traffic analysis using Wireshark.
Technical Toolkit: Proficiency in Python for research scripting/automation and SQL for complex data queries.

Preferred Qualifications

AI/LLM Implementation: Experience using AI to automate data classification or technical research workflows.
OT Exposure: Practical experience or strong familiarity with OT/Cyber-Physical assets, (PLCs, sensors) and Cloud environments.
Asset Management Expertise: Prior experience in Cyber Asset Management (CAM) or specialized vulnerability research.
Data-Driven Methodology: Ability to build functional research scripts and extract insights from massive, unstructured datasets.
Scale-Up Experience: Proven ability to improve team efficiency through process optimization and modern research tools.
Stakeholder Management: Experience working closely with Product teams in a high-intensity delivery environment.

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About Axonius:

Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence.

Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world.

Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius.

At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status.

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Asset Intelligence Research Manager

TLDR

Responsibilities

Minimum Qualifications

Preferred Qualifications