Who you are

• This position is ideal for someone with strong networking and cybersecurity experience, deep knowledge of network security analytics, and a passion for building security products that detect real-world threats
• 7+ years in cybersecurity, with at least 3+ years in a technical product management, security research, or detection engineering leadership role
• Proven experience defining product strategy and managing a backlog for a technical security product
• Expert-level understanding of network protocols, network security principles, and intrusion detection methodologies
• Strong, practical experience with detection frameworks and a proven ability to build a detection strategy around it
• Deep experience with NDR data sources, especially Zeek, Suricata, and/or Snort
• Experience with network forensics, packet analysis, and identifying anomalous or malicious network behavior
• Excellent analytical skills, with the ability to translate complex technical challenges and threat intelligence into clear, prioritized product requirements
• Bachelor's degree in Computer Science, Cybersecurity, or equivalent practical experience
• MBA or advanced degree in Cybersecurity or related field
• Background in hands-on threat hunting or threat intelligence is a strong plus
• Experience in developing or managing products related to behavioral detection models, network anomaly detection, or AI/ML-based security analytics
• Direct experience working with security operations teams (SOC), threat hunters, or forensic analysts to understand their needs and workflows
• Experience contributing to open-source security initiatives

What the job involves

• As a Product Manager – Threat Detection, you will be responsible for driving the development of Corelight’s Network Detection and Response (NDR) capabilities
• You will work closely with security researchers, engineers, and open-source contributors to ensure Corelight’s solutions remain at the forefront of network-based threat detection
• Your role will focus on enhancing threat detection capabilities across Corelight’s platform, integrating emerging threat intelligence, and defining the product roadmap to keep security teams ahead of adversaries
• Define, prioritize, and execute the product strategy for Corelight’s threat detection capabilities, with a primary focus on Machine Learning (ML), Artificial Intelligence (AI), and agentic solutions
• Clarify and lead the data requirements necessary to support ML/AI detection capabilities, providing direct input into the Corelight Detection Schema
• Research adversary tactics and techniques to identify and prioritize detection opportunities, specifically focusing on how ML/AI can be applied across all monitoring sources
• Lead the Threat R&D, Data Science, and Engineering to operationalize research and champion model fidelity, performance, and explainability to drive customer adoption and trust
• Act as the primary technical liaison between customers, internal research teams, and engineering, while monitoring the industry and competitors for market indicators and key differentiators

The application process

• Towards the end of our interview process is an in-person interview