- We’re looking for people who are relentlessly curious and committed to continuous learning
- AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts
- Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes
- We are looking for an experienced Staff Product Manager to help guide the evolution of SentinelOne’s AI-SIEM detection and response capabilities
- AI-SIEM is our unified security analytics platform for threat detection, investigation, and response (TDIR), combining high-scale telemetry ingestion, out-of-the-box and custom detection content, behavioral analytics, and threat intelligence to help security teams find and respond to threats faster
- In this role, you will bring your in-depth knowledge of the SIEM and detection engineering market to define and drive the product strategy and roadmap for detection content and the detection engine, working closely with engineering, data science,



threat research, product marketing, and sales to deliver the next evolution of detection and response on the AI-SIEM platform
- This is a highly visible, technical, and collaborative role for someone who is passionate about staying ahead of the threat landscape and translating that knowledge into product decisions
- Define and maintain the strategy and product roadmap for AI-SIEM’s detection engines, detection content, and AI-native capabilities
- Partner closely with engineering teams to build and maintain highly technical, broadly scoped infrastructure components
- Collaborate closely with Threat Research, Data Science, and Engineering teams to understand attack trends and conceptualize and deliver AI-native and detection solutions
- Apply AI and Large Language Models (LLMs) to improve research workflows, detection development, and research productivity, with guardrails for responsible

📌 Staff Product Manager (Madrid)
🏢 Sentinelone
📍 Madrid