Hybrid Vice President, Product Management – AI Innovation

at Anomali

• Job title: Vice President, Product Management – AI Innovation
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Dallas, United States

About the role

• Vice President of Product Management at Anomali developing AI-powered security operations products. Driving product strategy and collaborating across teams for autonomous threat detection and response.

Responsibilities

• AI-Driven Product Strategy: Collaborate and 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.

Requirements

• 5+ years of Product Management experience with hands-on experience defining innovative AI/ML products or systems.
• Minimum of 3 years in Product Management leadership or advanced, strategic AI driven product innovation
• 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.
• Experience implementing guardrails for AI-driven product 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.
• This position is not eligible for employment visa sponsorship. The successful candidate must not now, or in the future, require visa sponsorship to work in the US
• For candidates in the Bay area, this position is onsite/hybrid at our Redwood City, CA office. Currently, the team is working a hybrid schedule: Mon/Tue/Wed onsite and Thu/Fri remote. We will also consider remote candidates located within the Unites States.

Benefits

• Equal Opportunities Monitoring
• Equal opportunity for employment and advancement based on merit.