Cyber Threat Intelligence Researcher

About this role

About Artemis

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

Our platform brings a new approach to the $100B security operations market, building a live model of each customer’s environment and using AI agents to detect, investigate, hunt, and respond to threats at machine speed. Just one year after our founding, Artemis is one of the fastest-growing cybersecurity companies of all time, with customers including multiple Fortune 500 companies, Global 2000 enterprises, and AI innovators like Cursor.

We have raised $70M from Felicis, First Round Capital, Theory Ventures, Two Sigma Ventures, Lockstep VC and Brightmind. We are also backed by some of the most prominent operators in cybersecurity, including the CEO of Crowdstrike, the former CEO and CTO of Splunk, and the founders of Abnormal AI and Demisto.

Artemis’s founders have built and scaled security products used by tens of thousands of customers. Shachar Hirshberg (CEO) led Amazon GuardDuty, the world’s largest cloud detection product, was an early employee at Demisto, the company that invented the SOAR category, was an engineering leader at Palo Alto Networks, and holds an MBA from Harvard. Dan Shiebler (CTO) led all AI and machine learning at Abnormal AI, the pioneer of behavior-based detection, spent five years building analytics using machine learning and vector databases at Twitter, and holds a PhD in machine learning from Oxford.

Our team of software engineers, AI researchers, security engineers, and product designers comes from Google, Meta, AWS, Wiz, CrowdStrike, SentinelOne, Abnormal AI, Perplexity, Bridgewater, Mercor, CERN, and more.

We’re growing fast and looking for builders who want to help us serve our rapidly expanding customer base.

ABOUT THE ROLE

We’re looking for a Cyber Threat Intelligence Researcher to lead original threat research and drive Artemis’s managed threat intelligence strategy. You’ll investigate emerging threats, track attacker behavior, publish research, and build threat hunts that help customers discover activity their existing defenses may miss. Your work will connect what’s happening in the threat landscape to what matters in real customer environments.

This is an individual contributor (IC) role focused primarily on hands-on research. You’ll personally develop hypotheses, analyze telemetry, investigate campaigns, write blogs and intelligence reports, and turn discoveries into repeatable hunts. You’ll own research from the initial question through publication and operational use, partnering with detection engineers, offensive security, analysts, and product teams to translate intelligence into better protection.

RESPONSIBILITIES

- Conduct original threat research – Investigate emerging campaigns, attacker infrastructure, exploitation techniques, and changes in adversary tradecraft across cloud, identity, endpoint, SaaS, AI, and data environments. Combine external reporting with authorized telemetry analysis to develop findings grounded in evidence.

- Drive managed threat intelligence strategy – Own the research roadmap and intelligence priorities for Artemis’s managed offering. Define the threats and questions that matter to customers, evaluate intelligence sources and partners, and establish how intelligence is collected, assessed, delivered, and kept current.

- Publish research and blogs – Write original technical blogs, campaign analyses, threat advisories, and research reports that establish Artemis as a trusted source of security insight. Explain attack behavior, supporting evidence, defensive implications, and practical hunting guidance for technical and executive audiences.

- Build and execute threat hunts – Translate novel threats and research hypotheses into hunts across customer environments. Identify relevant telemetry, develop queries and behavioral correlations, investigate results, and turn successful approaches into reusable hunt templates with clear prerequisites and limitations.

- Track actors and campaigns – Connect infrastructure, tooling, victimology, and observed behaviors across investigations. Maintain useful campaign and activity-cluster assessments, clearly separating observed facts, analytical judgments, confidence levels, and attribution uncertainty.

- Operationalize intelligence – Partner with detection engineers and the SOC to turn research into detections, investigation guidance, enrichment, and response recommendations. Manage the quality and lifecycle of indicators and intelligence content, including provenance, relevance, confidence, and expiration.

- Research threats involving AI – Investigate how attackers use AI and how they target AI applications, agents, tools, and connected data. Develop practical hypotheses and hunts for emerging abuse, distinguishing demonstrated activity from speculation and identifying where additional telemetry is needed.

- Build research automation – Use Python, APIs, and AI-assisted workflows to accelerate collection, enrichment, correlation, and analysis. Verify sources and conclusions independently, preserve evidence, and build repeatable workflows that scale research without sacrificing analytical quality.

- Deliver actionable customer intelligence – Brief customers and internal teams on relevant developments, explain exposure and observed activity, and recommend concrete next steps. Measure impact through useful hunts, coverage improvements, and customer decisions, and use feedback to refine the intelligence program.

QUALIFICATIONS

- 5+ years of hands-on cybersecurity experience, with substantial work in threat intelligence, threat research, threat hunting, or incident investigation; equivalent demonstrated expertise is welcome.

- A track record of producing original, evidence-backed research and clear technical writing. Published work, anonymized reports, or other…