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Artemis

Security Engineer

New York CityfulltimemidAdded 1 month ago

About this role

Artemis, an AI-driven cybersecurity startup backed by First Round Capital, is hiring a Security Research Engineer to develop AI-powered detections, conduct threat hunting, and investigate incidents across cloud and identity platforms. You'll work hands-on at the intersection of security research and AI, directly impacting threat detection and engaging with customers to deliver security value.

What you'll do

  • Develop AI-powered detection tools and automation to accelerate detection creation and validation
  • Conduct security research on cloud, identity, and SaaS data sources (AWS CloudTrail, Okta, Entra ID)
  • Perform authorized attack simulations and threat hunting to validate detection coverage
  • Investigate security incidents and refine detection logic based on real-world findings
  • Engage with customers to present analysis, gather feedback, and tune detections for accuracy
  • Build investigation automation tools that scale threat hunting workflows across the platform

What they're looking for

  • 7+ years hands-on cybersecurity experience
  • Incident response in cloud environments (AWS, Azure, GCP) and identity providers
  • Threat actor tactics, techniques, and procedures (TTPs) knowledge
  • Log-based analysis and malicious activity detection
  • Detection engineering and translation of research into actionable detections
  • Technical communication with engineers and customers
  • SIEM, EDR, or SOAR tool familiarity
  • AI/ML tools and models experience (bonus)

Benefits

  • Work on cutting-edge AI-powered security technology
  • Direct impact on threat detection and customer security outcomes
  • Hands-on role with high visibility and influence on product direction
  • Join a team of engineers and researchers from Google, Wiz, Meta, AWS, and other top companies
  • Backed by prominent venture capital and industry operators
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Artemis

Artemis builds an AI-driven cybersecurity platform that detects and defends against modern threats using large-scale LLM systems and intelligent threat detection. The company is hiring product engineers, security researchers, and ML engineers to develop full-stack customer-facing features, AI-powered security detections, and scalable infrastructure for processing security data.

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Likely interview questions

  • Walk us through a significant incident you investigated in a cloud environment (AWS, Azure, or GCP). How did you identify the threat actor's tactics, and what detection would you have built to catch it?
  • Describe your experience with log-based analysis across multiple sources (CloudTrail, Okta, Entra ID, etc.). How have you identified malicious activity that traditional tools missed?
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