Vulnerability Intelligence Engineer — Product Security

JobCubby; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity awards

Paid time off

Parental leave

Wellness programs

Professional development

Job summary

CrowdStrike is seeking a Product Security Engineer to join the Vulnerability Intelligence team in the US. You will monitor for emerging vulnerabilities, deploy large-scale security/monitoring systems for asset visibility, and build tooling to solve security challenges.

You will analyze CVEs, assess exploitability, and drive remediation prioritization while collaborating across engineering, product, and leadership teams to communicate risk in business terms.

Qualifications

• 5-7+ years of security experience implementing and supporting security systems.
• Ability to research CVEs, assess exploit availability, and using threat intelligence.
• Strong scripting/development capabilities in Python, Go, Ruby/Chef, etc.
• Experience applying AI technologies to improve decision-making and workflows.
• Ability to communicate risk in business context and coordinate with teams.

Responsibilities

• Analyze emerging vulnerabilities, assess exploitability and risk, and recommend remediation strategies.
• Develop data-driven prioritization frameworks aligned with business risk tolerance.
• Implement and monitor tools for detection/monitoring of assets across clouds and data centers.
• Develop vulnerability management KPIs and communicate security posture to stakeholders.
• Utilize the Falcon platform features and provide feedback to product teams.

Skills

Scripting languages

AI technologies

Cross-functional collaboration

Tools

Kubernetes

Linux

Falcon platform experience

Job description

CrowdStrike is seeking a Product Security Engineer to join the Vulnerability Intelligence team in the US. You will monitor for emerging vulnerabilities, deploy large-scale security/monitoring systems for asset visibility, and build tooling to solve security challenges.

You will analyze CVEs, assess exploitability, and drive remediation prioritization while collaborating across engineering, product, and leadership teams to communicate risk in business terms.