About the role
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to
the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About
the Role: CrowdStrike is seeking an Engineering Manager to join our Vulnerability Management Team within Exposure Management. This role will lead our Vulnerability Detection team, focusing on helping customers fingerprint, identify, and assess network devices through advanced detection techniques and methodologies. You will collaborate closely with cross-functional teams, product management, and security researchers to drive detection capabilities while building a team and managing direct reports. Location - Pune- Hybrid
What You'll Do: Drive Vulnerability Detection: Lead development of detection capabilities that help customers identify and assess network infrastructure vulnerabilities through fingerprinting techniques and detection pipelines while setting technical vision and roadmap. Research Emerging Threats: Monitor and analyze vulnerability disclosures from major vendors (Microsoft, Oracle, Cisco), translating research into actionable detection capabilities that protect customers from emerging risks. Build and Lead a Global Team: Manage a distributed team of vulnerability detection engineers and technical leads, fostering a collaborative environment while coordinating across time zones to deliver high-quality detection content. Cross-Functional Collaboration: Partner with product management and engineering teams to align detection capabilities with customer needs, directly influencing CrowdStrike's Exposure Management platform evolution and organizational strategy. Ensure Quality and Accuracy: Own validation processes for vulnerability detections, implementing automated workflows that maintain CrowdStrike's high standards for security solutions. AI-Enhanced Vulnerability Detection Research: Leverage generative AI tools to accelerate vulnerability analysis, proof-of-concept development, and detection rule creation while maintaining human oversight for validation and detection accuracy. Intelligent Vulnerability Assessment Pipeline: Design and implement AI agent workflows to automate multi-step vulnerability validation processes (e.g., discovery, analysis, prioritization, remediation guidance) while ensuring human-in-the-loop verification for critical vulnerability detections and false positive reduction. What You’ll Need: 8+ years in cybersecurity or vulnerability management 5+ years management experience with proven ability to lead technical teams Hands-on technical leadership with vulnerability detection techniques and network security Excellent communication skills for executive and technical audiences Agile/Scrum methodology experience with ability to scale processes Programming skills in Go, Python, or similar languages BSCS or comparable field of study. Must be able to work 2+ days per week on site from our Pune or Bengaluru offices. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
