Senior Product Manager, Anomali

• 5+ years of Product Management experience with hands-on experience defining AI/ML products or systems
• Strong technical understanding of LLMs, multi-agent systems, retrieval-augmented reasoning, prompt engineering, reinforcement learning, and evaluation frameworks
• Proven experience translating complex AI capabilities into production-ready features
• Deep understanding of SOC workflows, incident response, and enterprise security operations
• Proven ability to define success metrics, evaluate model performance, and monitor reliability of AI systems in production
• Excellent communication skills to bridge technical, product, and security teams

Desirable

• This role requires a strong technical understanding of AI/ML systems, including LLMs, retrieval-augmented reasoning, multi-agent orchestration, prompt engineering, reinforcement learning, and model evaluation, and the ability to translate these capabilities into production-ready, reliable, and safe AI-driven features for security operations
• You will work closely with Engineering, Data Science, and Security Research teams to define technical requirements, prioritize features, and guide the development of an autonomous SOC+ product that automates threat detection, triage, response, and analyst decision support at scale
• This is a hands-on, high-impact product role, combining technical fluency, operational understanding, and strategic vision to shape the future of autonomous AI in enterprise security
• AI-Driven Product Strategy: Define the vision, roadmap, and success metrics for autonomous SOC+ features, ensuring alignment between AI capabilities, SOC workflows, and customer needs
• Technical Requirements & Architecture Input: Translate AI research into scalable, production-grade features, including agentic AI workflows, automated triage, alert prioritization, threat detection, and multi-agent orchestration
• Model Evaluation & Reliability: Partner with evaluation and reliability teams to define SLIs/SLOs, performance KPIs, and operational guardrails for autonomous AI systems
• Workflow Translation: Map SOC analyst and incident response workflows to AI automation opportunities while ensuring usability, explainability, traceability, and auditability
• Cross-Functional Leadership: Collaborate with Product, Engineering, Security Research, UX, and GTM teams to drive feature prioritization, validate technical feasibility, and ensure production readiness
• Thought Leadership & Industry Presence: Represent the product internally and externally through executive briefings, panels, webinars, and whitepapers to highlight AI-driven SOC automation