Sr. Product Manager - Signal (hybrid)

CrowdStrike CrowdStrike · Enterprise · Sunnyvale, CA +2

CrowdStrike is seeking an experienced Senior Product Manager to define and guide the evolution of their AI-native cybersecurity platform, focusing on threat detection technologies. The role involves close collaboration with engineering, research, and data science teams to build and deliver cutting-edge security products.

What you'd actually do

  1. Define and maintain the strategy and product roadmap for CrowdStrike’s threat detection Engines and Detection Content.
  2. Partner closely with engineering teams to build and maintain highly technical and broadly scoped infrastructure components.
  3. Collaborate closely with CrowdStrike’s Malware Research Center, Data Science, and Engineering teams to understand threat and attack trends and proactively deliver cutting-edge defenses.
  4. Partner with Marketing to define go-to-market strategies, thought leadership, messaging, product positioning, benefits, and target personas.
  5. Engage with Sales and Support to champion recent releases and guide future product direction.

Skills

Required

  • 7+ years of product management experience in Detection Content, SIEM, XDR, Cloud Security, Identity, or closely related security segments.
  • Experience building large scale distributed systems.
  • Exceptional communication skills, both verbal and written, with the ability to translate and articulate positioning and technology effectively.
  • A keen interest in new threat detection technologies, systems, and tools.
  • Proven ability to collaborate with peers in research, engineering, and product marketing.
  • Strong quantitative and business analysis skills.
  • Capability to prioritize numerous simultaneous tasks.
  • Demonstrated effectiveness in working with both local and remote teams.

Nice to have

  • Knowledge of cloud security products and threat landscape is highly desirable.
  • BA or BS degree in an applicable field or equivalent work experience; a Master's degree is desirable.

What the JD emphasized

  • in-depth knowledge of the Threat Detection market
  • threat detection Engines and Detection Content
  • Malware Research Center, Data Science, and Engineering teams

Other signals

  • AI-native platform
  • threat detection technologies
  • Malware Research Center
  • Data Science