Principal Product Manager

Trellix
$190,000 - $250,000

About The Position

We are looking for a Network Security Product Manager who will play a key role in shaping the future of our network security portfolio, working closely with UX, Engineering, and Hardware teams to drive innovative solutions into a unified platform that covers inline and passive detections, forensic analysis, and security analytics. Trellix is redefining cybersecurity with AI-driven threat intelligence and advanced network security solutions (NDR/IPS/IDS/Forensics/NGFW/ZTNA/UEBA/SSE). We empower enterprises to stay ahead of evolving threats by integrating Network security solutions and AI-driven automation into a cohesive security ecosystem. We are looking for a Principal Product Manager to drive strategy, roadmap and execution of our next generation security business. You will focus on accelerating IPS/IDS, Threat Detection and Forensics capabilities by embedding AI-native technologies and unifying them into a single cohesive platform. As a strategic leader, you will own the ”why” and “what” of our network security future, moving from reactive threat mitigation to autonomous, agent-based prevention and cross product integrations. You will work closely with customers, data engineers, software and hardware engineering teams to deliver cutting edge security product features that define the market.

Requirements

  • 10+ years of Product Management experience in cybersecurity, with at least 3+ years focused on network security, threat detections, and/or AI/ML products.
  • Deep technical understanding of IDS/IPS, forensics, malware analysis and network protocols.
  • Familiarity with network security, packet analysis, threat detection, hardware and virtual security.
  • Experience in developing integrated security platforms (XDR, SIEM, SASE) is a plus.
  • Stay current on hardware networking trends and how they apply to network security architecture.
  • Knowledge of network protocols, security operations (SOC), and incident response workflows.
  • Understanding of how AI/ML can be used to automate most of the redundant workflows and machine learning applications, anomaly detection, LLMs, data pipelines is a plus.
  • Technical background with engineering collaboration (software, hardware, or cloud infrastructure).
  • Proven ability to define multi-year roadmap and turn ambiguous market trends into concrete, actionable product requirements.
  • Exception leadership skills, able to influence without authority and communicate complex technical concepts to executive audiences.

Nice To Haves

  • Bachelor’s degree in Engineering (Computer, Electronic, Electrical or similar); a MBA is plus.
  • 10+ years of product experience in cybersecurity / network security product lines.
  • Experience in network software solutions or security automation using Agentic AI or autonomous security systems.
  • Familiarity with cloud security architectures (AWS, Azure, GCP) are a plus.
  • Certifications such as CISSP, CISM, or CCSP are a plus.
  • Understanding of compliance frameworks (NIST, ISO 27001, MITRE ATT&CK, GDPR).

Responsibilities

  • Drive integration across forensics, IPS/IDS, threat detection and intelligence, creating a seamless user experience that breaks down silos between network and security operations.
  • Act as a primary interface for key customers and field teams to understand SOC workflows, alert fatigues and threat hunting pain points.
  • Own the long term vision for AI powered IPS/IDS and threat detection capabilities within a unified security platform.
  • Prioritize features that leverage automation and AI to address the SOC pain points and reduce the MTTR.
  • Lead development of advanced detection signals and autonomous investigation agents to identify attack patterns at scale.
  • Manage the end-to-end product lifecycle, including ideation, requirements gathering, prototyping, development and go-to-market strategy.
  • Partner with engineering, research, UX design, and Sales to build best-in-class security products.
  • Define and monitor KPIs for AI model performance and overall business impact.

Benefits

  • Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement
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