Security Research Engineer

Responsibilities

• Develop AI-powered detection tooling to accelerate creation, tuning, and validation at scale
• Analyze cloud, identity, and SaaS data sources (AWS CloudTrail, Okta, Entra ID) to identify detection opportunities
• Execute authorized attack simulations to validate detection coverage and identify gaps
• Proactively hunt for threats across customer environments using platform tooling
• Analyze security incidents to refine detection logic and deliver actionable findings
• Engage with customers to present analysis results and gather product feedback
• Tune customer detections to reduce false positives and improve accuracy
• Build AI-powered tools to scale investigation and threat hunting workflows

Requirements

• 7+ years of hands-on cybersecurity experience
• Experience in incident response including cloud environments (AWS, Azure, GCP) and identity providers (Okta, Entra ID)
• Strong knowledge of threat actor tactics, techniques, and procedures (TTPs)
• Strong experience with log-based analysis to identify malicious activity
• Ability to translate security research into actionable detections or threat hunt investigations
• Experience with detection engineering at scale
• Strong communication skills for explaining technical findings to engineers and customers

Preferred Qualifications

• Background working in a SOC environment or Managed Detection and Response (MDR)
• Familiarity with SIEM, EDR, and SOAR tools
• Customer-facing technical experience
• Experience with AI tools and models

About the Company

Artemis is building the future of AI-driven defense, helping companies detect and defend themselves in an era where AI is fighting AI on the cyber battlefield. Backed by First Round Capital and Brightmind, the team consists of experts from Google, Meta, AWS, and Wiz.