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Corelight

Corelight

via Remote Rocketship

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Principal Product Manager – Threat Detection

Anywhere
Full-time
Posted 12/10/2025
Verified Source
Key Skills:
Network protocols
Network security principles
Intrusion detection methodologies
Detection frameworks
Network forensics
Packet analysis

Compensation

Salary Range

$200K - 200K a year

Responsibilities

Define and execute product strategy for threat detection capabilities focusing on ML/AI, lead research and operationalize detection models, and serve as a technical liaison.

Requirements

7+ years in cybersecurity, 3+ years in a technical product management or detection leadership role, expert in network security and detection frameworks, with deep experience in NDR data sources like Zeek, Suricata, or Snort.

Full Description

Job Description: • 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. Requirements: • 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. Benefits: • Equity and additional benefits will also be awarded.

This job posting was last updated on 12/14/2025

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