Senior/Staff Security Engineer, Threat Intelligence
About the Role
Anthropic sits at the frontier of AI development, making us a prime target for nation‑state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team ensures we see these adversaries coming. In this hands‑on practitioner role you will produce actionable intelligence that drives our detections, hunts, and defensive priorities. You will track the threats most likely to target a frontier AI lab, build tooling and pipelines that turn raw indicators into operational defenses, and work closely with detection engineers and incident responders to make intelligence translate into improved outcomes. This builder’s role gives broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic.
Responsibilities
- 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, turning 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.
- Have 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.
- Be a strong engineer: you write production‑quality Python (or similar), have built automation and data pipelines, and can build the tooling you need end‑to‑end.
- Be 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 versus brittle.
- Write clearly and concisely—your intelligence products are read and acted on, not filed away.
Required Qualifications
- Hands‑on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries.
- Deep, demonstrable knowledge of specific nation‑state or advanced criminal threat actors—their tooling, infrastructure patterns, tradecraft, and targeting.
- Strong engineering skills: production‑quality Python (or similar), automation and data pipelines, end‑to‑end tooling.
- Experience with malware, infrastructure (passive DNS, certificate pivoting, netflow), and log analysis.
- Experience authoring detection content (YARA, Sigma, Snort/Suricata, SIEM queries) deployed in production.
- Clear and concise written communication.
Preferred Qualifications
- Existing network in the threat intelligence community with productive intelligence sharing.
- Experience defending cloud‑native and research‑heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling, and supply chain).
- Prior work in a threat intelligence role tracking sophisticated or state‑sponsored adversaries, with analysis directly informing detection, 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 contributions in the CTI space.
Logistics
Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience. Required field of study: relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: aligned with the internal job level requirements for the position.
Location‑based hybrid policy: Expected to be in one of our offices at least 25% of the time. Some roles may require more in‑office time.
Visa sponsorship: We sponsor visas and will make every reasonable effort to assist. We may not be able to sponsor all candidates for every role.
Employment Opportunity Statement
We encourage applicants who do not meet every single qualification to apply. We value diverse perspectives in our team.
Safety Notice
Anthropic recruiters contact you only from @anthropic.com email addresses. Be cautious of emails from other domains. Legitimate recruiters will never request money, fees, or banking information before your first day. If unsure about a communication, do not click any links—visit anthropic.com/careers directly for confirmed openings.