International Product Manager leading the SIGNA™ portfolio strategy at GE HealthCare. Focused on product lifecycle management and market requirements across international regions.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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