VP, Threat Research - Security Intelligence
Elastic
| Company | Elastic |
| Category | Uncategorised |
| Location | United States |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 29 Jul 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role
Elastic Security is hiring a VP of Threat Research to own the research agenda for what our platform detects, prevents, and publishes, and to serve as the public voice of that work. This role reports directly to the GM of Elastic Security. It is a senior individual contributor leadership role for someone with deep technical credibility who wants to shape direction through expertise, judgment, and influence. You will decide what the team builds and why: setting priorities across detection engineering, threat research, endpoint protections, and security ML, while partnering closely with delivery leaders who own execution and people management. This is also a highly visible, outbound role. You will represent Elastic with customers, at industry conferences, with press and analysts, and in the broader security research community. We are looking for someone who wants to elevate Elastic’s research brand, guide the technical agenda, and help define how the industry thinks about modern threat detection and prevention.
What You Will Be Doing
Define the research and detection agenda across SIEM, endpoint, threat research, and security ML
Set the quality bar for what Elastic detects, prevents, and publishes
Decide where the team should invest next across malware detection, ransomware and memory protections, and AI-driven security capabilities
Shape the publishing strategy for Elastic Security Labs, including original research, malware analysis, and conference content
Act as the external face of the organization with customers, analysts, press, and the security community
Partner with engineering, product, and delivery leadership to turn research priorities into shipped protections
Help advance Elastic’s point of view on open and transparent security, including public detections and explainable AI-driven protections
Lead thinking on how AI changes both threat research and attacker behavior, and how Elastic should respond
What You Bring
Deep credibility in threat research, detection engineering, endpoint security, or security ML
Hands-on technical experience doing the work yourself, not only leading teams
The ability to operate as a senior IC leader who sets direction through technical depth and strong judgment
Strong public communication skills and enthusiasm for customer engagement, speaking, and industry visibility
A clear belief in open, transparent security and the value of publishing detections and research openly
Strong judgment and the ability to lead through influence, expertise, and vision
Experience setting strategy across technical security domains and translating that into clear priorities
A thoughtful point of view on AI in security, including both its promise and its risks
Willingness to travel regularly for customer meetings, conferences, and external engagements
Bonus Points
Experience leading or contributing to publicly recognized threat research or detection content
Familiarity with open detection ecosystems, GitHub-based research workflows, or community-driven security programs
Experience spanning both endpoint protections and SIEM detections
Background working with malware models, behavioral detections, or small language models in security use cases
Existing presence in the security community throug
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