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Sr. Intelligence Analyst III; Remote

Remote / Online - Candidates ideally in
Fargo, Cass County, North Dakota, 58102, USA
Listing for: CrowdStrike Inc.
Full Time, Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 145000 - 220000 USD Yearly USD 145000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Competitive Intelligence Analyst III (Remote)

USA - Remote

Full time

R29962

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

About the Role:

Crowd Strike is seeking a passionate and strategic Sr. Competitive Intelligence Analyst III to support our Security for AI portfolio, including AI Detection and Response (AIDR), securing generative AI applications, and protecting autonomous agents. In this role, you will partner directly with Product, Sales, and cross-functional leaders to inform roadmap decisions, guide go-to-market strategy, and help Crowd Strike win in a rapidly evolving competitive landscape focused on securing the enterprise AI ecosystem against emerging threats like prompt injection and data leakage.

You will develop a deep, nuanced understanding of how competitors approach Security for AI, analyzing their ability to protect prompts, models, and agents, as well as the real reasons Crowd Strike wins or loses in the field. This work will scale globally and require tight partnership with senior leaders across Product, Sales, Marketing, Corporate Strategy, Investor Relations, and other teams.

The ideal candidate brings strong technical proficiency in AI/ML for cybersecurity, practical insight into real-world security product development, and the ability to translate complex analysis into actionable guidance. This is a remote, individual-contributor role with significant visibility and impact.

What You’ll Do:
  • Synthesize and formulate guidance on the strategic importance of Security for AI, emphasizing how the protection of autonomous agents and the mitigation of prompt-based threats create a significant competitive advantage.

  • Provide a field-actionable, in-depth and ever-evolving understanding of the Security for AI market, analyzing competitors' ability to deliver accelerated detection and autonomous remediation across the full AI lifecycle.

  • Provide tailored deal support (competitive surgeries & guidance), and develop a deep rapport with the field.

  • Work closely with the rest of the Competitive Intelligence team and technical stakeholders to serve as the primary liaison for Security for AI competition.

  • Make recommendations on sales tactics and product strategy to enable Crowd Strike to win in the market.

  • Be a self-starter with an ownership mentality. You will work autonomously in the development of project plans, requirements, timelines, content, and ongoing tracking/updates of the Security for AI competitive landscape.

  • Conduct win/loss analysis, using both quantitative and qualitative data sources to determine why…

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