Manager, Cyber Research

The Security Research Team powers Axonius Exposures by designing the analytical, exposure management, and data pipelines that drive product capabilities, including risk scoring, data modeling, and LLM-driven reasoning. Operating in close partnership with Product and Engineering, team members own projects end-to-end from problem definition to validated production prototypes. We are seeking a Group Manager to lead, mentor, and grow this team while driving portfolio prioritization, technical rigor, and cross-functional execution across complex cybersecurity and data-heavy initiatives.

Responsibilities

• Manage, coach, and grow a team of 4 to 8 security researchers, taking direct accountability for hiring, performance management, and research output quality.

• Drive cross-functional delivery with Product and Engineering leaders, translating business requirements into clear research scope, project timelines, and scalable production prototypes.

• Review and critically evaluate complex technical approaches, including data pipeline architecture, exposure/risk scoring logic, mitigation strategies, and LLM pipeline designs (prompting, retrieval, evaluation).

• Lead project portfolio prioritization and represent the team's research roadmap and value metrics directly to executive leadership with minimal top-level intervention.

Minimum Qualifications

• Minimum 5 years of professional experience in cybersecurity, specifically within vulnerability research, exposure/risk scoring, threat intelligence, or adjacent domains.

• Minimum 2 years of direct people management experience leading teams of security researchers or software engineers.

• Hands-on proficiency with Python and SQL for research validation, prototyping, and data analysis.

• Proven track record of cross-functional collaboration with Product and Engineering to ship research-backed data pipelines or cybersecurity capabilities into commercial software products.

Preferred Qualifications

• Hands-on experience designing, testing, or deploying LLM-based systems, including retrieval-augmented generation, prompt engineering, and model evaluation metrics.

• Demonstrated experience developing risk scoring models, normalizations, and mitigation strategies across EDR data sources and vulnerability frameworks.

• Experience scaling research teams from mid-size to larger organizational structures while defining operational success metrics.

• Strong technical architecture background with the ability to define handoff specifications for engineering productionization without requiring hands-on daily coding.

• Prior experience in high-growth, enterprise B2B SaaS or cybersecurity vendors.

• Bachelor's or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related quantitative field.

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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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