Vulnerability Intelligence Engineer, Product Security

CrowdStrike Holdings, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Market-leading compensation

Comprehensive wellness programs

Parental and adoption leaves

Professional development

Job summary

CrowdStrike is seeking a Product Security Engineer to monitor and respond to emerging vulnerabilities across its Falcon platform. You will analyze CVEs, assess exploit risk, and help drive remediation strategies with data-driven prioritization.

You will deploy monitoring across clouds and on‑prem environments, develop KPIs, and communicate security posture to technical and executive stakeholders. A strong scripting background and AI-enabled decision support are key for success.

Qualifications

• 5-7+ years of security experience implementing and supporting security systems.
• Strong scripting capabilities in one or more languages (Python, Golang, Ruby).
• Experience with Linux/Unix, cloud platforms (GCP) and Kubernetes.

Responsibilities

• Analyze emerging vulnerabilities, assess exploitability and risk, and recommend remediation strategies.
• Perform risk-based analysis of vulnerability exposure and develop data-driven prioritization models.
• Deploy and monitor assets/tools across multiple clouds and data centers.
• Develop vulnerability KPIs and communicate security posture to stakeholders.
• Leverage Falcon features to improve security posture and provide feedback to product teams.

Skills

Python

Golang

Ruby

AI technologies

Linux

Kubernetes

Cloud platforms

Security vulnerability

Tools

Falcon platform

Job description

CrowdStrike is seeking a Product Security Engineer to monitor and respond to emerging vulnerabilities across its Falcon platform. You will analyze CVEs, assess exploit risk, and help drive remediation strategies with data-driven prioritization.

You will deploy monitoring across clouds and on‑prem environments, develop KPIs, and communicate security posture to technical and executive stakeholders. A strong scripting background and AI-enabled decision support are key for success.