Security Analyst

Artemis is building the future of AI-driven defense - helping companies detect and defend themselves effectively in an era where AI is fighting AI on the cyber battlefield.

We're backed by First Round Capital, Brightmind, and a group of the cybersecurity industry's most prominent Operators.

Our founders, Shachar (ex-Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have previously built, launched, and scaled cybersecurity products loved and trusted by tens of thousands of customers, and have the customer, technology, and security know-hows to deliver this vision.

Our exceptionally strong team includes software engineers, AI researchers, security engineers, and product designers hailing from Google, Abnormal AI, Wiz, Meta, AWS, CERN, SentinelOne, and more.

We are growing our team and looking for passionate builders to join us and support our expanding customer base.

We're looking for a Security Analyst to be at the core of what we do: reviewing real security cases across customer environments, recommending outcomes, and continuously improving the detection logic that powers our platform. This role sits at the intersection of hands-on SOC work and modern AI-assisted security operations — you'll develop deep expertise in cloud, identity, and SaaS threats while directly shaping the detection content and investigation workflows that protect our customers.

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• Experience writing or tuning detection rules (Sigma, YARA-L, SPL, KQL, or similar)

• Familiarity with SQL or scripting for log analysis

• Background in detection engineering or security content development

• Experience with SIEM, EDR, or SOAR platforms

• Exposure to AI-assisted investigation or automation tooling

At Artemis, we believe the best ideas come from diverse teams. We're committed to creating an inclusive environment where people of all backgrounds, experiences, and perspectives can do their best work. We welcome everyone, regardless of race, gender, age, religion, identity, or anything else that makes you, you.