Product Manager – AI SOC Automation

Requirements

• requirements for automation and AI-enhanced capabilities Analyze SOC metrics, case handling data, and operational KPIs to inform product priorities and measure success AI Agent & Automation Product Management Own the product roadmap for AI SOC automation tools, infrastructure, and Mixture-of-Experts AI agents Define, prioritize, and maintain the product backlog across the full concept-to-delivery lifecycle Collaborate with AI/ML engineering teams to translate SOC operational needs into technical
• requirements for intelligent automation Cross-Functional Collaboration Work closely with SOC leadership, senior analysts, and detection engineering teams to ensure product solutions align with operational realities Partner with UX teams to design intuitive interfaces for SOC analysts and automation management tools Collaborate with data science and AI/ML teams to enhance AI agent capabilities and decision-making Product Delivery & Optimization Act as the product delivery champion for SOC automation
• requirements and performance standards Monitor and measure the impact of automation tools on SOC efficiency, analyst productivity, and customer outcomes Continuously optimize AI agent performance and automation workflows based on operational feedback and data analysis Strategic Planning & Communication Contribute to the broader MDR service strategy and AI/ML product initiatives Present automation roadmap progress and operational impact to senior product executives and SOC leadership Support pricing and
• Experience managing complex technical backlogs with multiple stakeholder groups Strong analytical skills to measure product impact on operational metrics and customer outcomes Communication & Collaboration Ability to communicate effectively with both technical teams (engineers, data scientists) and operational teams (SOC analysts, detection engineers)
• Experience driving cross-functional collaboration in fast-paced, mission-critical environments Skilled at presenting complex technical concepts to executive audiences Key Competencies AI/ML lifecycle knowledge, including model development and deployment Industry certifications such as CISSP, GCIH, GNFA, or equivalent cybersecurity credentials Problem Complexity Works with moderate autonomy on complex SOC automation challenges.
• Identifies operational inefficiencies and technology gaps, and develops AI-powered solutions using sound judgment aligned with cybersecurity best practices.
• Monitors improvements in SOC operations and AI agent performance, and establishes feedback loops between product capabilities and operational outcomes. Minimum
• experience in cybersecurity, with direct exposure to SOC operations, threat detection, or security service delivery 3+ years of product management