As a Threat Intelligence Engineer at Anthropic, you will be a hands-on practitioner responsible for producing actionable intelligence that drives our detections, hunts, and defensive priorities. You will track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes.
Key responsibilities include:
- Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector , producing timely, actionable intelligence for Security Engineering stakeholders
- Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack
- Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections
- Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals
- Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time
- Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships , prioritizing what matters for Anthropic's threat model
- Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise
- Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners
You may be a good fit if you:
- Have 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries
- Have deep, demonstrable knowledge of specific nation-state or advanced criminal threat actors , their tooling, infrastructure patterns, tradecraft, and targeting
- Are a strong engineer: you write production-quality Python (or similar), have built automation and data pipelines, and don't need to hand requirements to someone else to get tooling built
- Are comfortable performing malware analysis, infrastructure analysis (passive DNS, certificate pivoting, netflow), and log analysis to develop and validate your own findings
- Have experience authoring detection logic (YARA, Sigma, Snort/Suricata, or SIEM-native queries) and understand what makes a detection durable vs. brittle
- Can write clearly and concisely , your intelligence products are read and acted on, not filed away
- Have an existing network in the threat intelligence community and a track record of productive bidirectional sharing
Strong candidates may have:
- Experience defending cloud-native and research-heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling and supply chain)
- Prior work operating in a threat intelligence role tracking sophisticated or state-sponsored adversaries, where your analysis directly informed detection, threat hunting, and incident response
- Experience applying LLMs or other AI tooling to accelerate intelligence collection, enrichment, and analysis
- Public research, conference talks, or open-source tooling contributions in the CTI space
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