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Staff Product Manager (AI SIEM, Detection and Response)

SentinelOne · Madrid, Spain

RemoteImported listingfull-timeabout 1 month ago

About The Role

Join SentinelOne, a leading cybersecurity company, as a Staff Product Manager for our AI-SIEM detection and response capabilities. In this highly visible and collaborative role, you will define and drive the product strategy and roadmap for detection content and the detection engine. You will work 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 position offers a range of benefits, including medical, dental, and vision coverage, unlimited time off, and a 401K plan.

  • Definir y mantener la estrategia y la hoja de ruta del producto para los motores de detección, el contenido de detección y las capacidades nativas de IA de AI-SIEM.
  • Colaborar estrechamente con los equipos de ingeniería, investigación de amenazas y ciencia de datos para comprender las tendencias de ataque y conceptualizar y entregar soluciones de detección y nativas de IA.
  • Escribir requisitos claros y bien definidos y trabajar con ingeniería para entregar nuevas características desde el concepto hasta el lanzamiento.
  • Demonstrated effectiveness working with both local and remote teams across time zones
  • Strong working knowledge of threat detection concepts, such as correlation logic, behavioral/UEBA-based detection, and threat intelligence integration
  • Proven ability to collaborate with peers in research, engineering, and product marketing
  • Excellent communication skills, both verbal and written, with the ability to translate and articulate technical concepts and positioning to varied audiences
  • 5+ years of product management experience, including work in SIEM, XDR, detection engineering, or a closely related security or SaaS segment
  • Willingness to travel up to 15-20% to customer and company locations worldwide
  • Strong quantitative and business analysis skills, with a data-informed approach to decision-making
  • A keen interest in the evolving threat landscape and emerging detection technologies, systems, and tools
  • Capability to prioritize and manage multiple concurrent initiatives in a fast-moving environment

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