SeniorStaff Security Engineer, Threat Intelligence

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

Anthropic sits at the frontier of AI development which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them this role youll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections hunts and defensive priorities. Youll 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 closely with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builders role on a small high-leverage team youll have broad latitude to shape how threat intelligence is collected analyzed and operationalized at Anthropic.

• 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 Anthropics 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
• Are 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
• 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 experience sharing intelligence productively in both directions
• Have experience defending cloud-native and research-heavy environments (AWS/GCP Kubernetes ML infrastructure developer tooling and supply chain)
• Have prior work in a threat intelligence role tracking sophisticated or state-sponsored adversaries where your analysis directly informed detection threat hunting and incident response
• Have experience applying LLMs or other AI tooling to accelerate intelligence collection enrichment and analysis
• Have public research conference talks or open-source tooling contributions in the CTI space

Deadline to apply: None. Applications will be received on a rolling basis.

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.