Security Engineer - Threat Intel

Anthropic; New York (NY); Hybrid; USD 320,000 - 405,000; Full time

Job summary

Anthropic is seeking a Threat Intelligence Engineer to drive detections, hunts, and defensive priorities for a frontier AI lab. You’ll build tooling, track adversaries, and work with detection engineers to operationalize intelligence.

You will analyze malware and attacker tooling, write detection logic (YARA, Sigma, Snort/Suricata), and collaborate with incident response to inform security architecture across the enterprise.

Qualifications

• 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis.
• Strong engineering: production-quality Python and automation experience.
• Experience defending cloud-native environments (AWS/GCP, Kubernetes).
• Experience applying AI tooling to accelerate intelligence collection, enrichment, and analysis.
• Ability to write clear, concise intelligence products that drive action.
• Existing network in the threat intelligence community and track record of share collaborations.

Responsibilities

• Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the technology sector; produce actionable intelligence for stakeholders.
• Build and maintain tooling and pipelines to collect, enrich, correlate, and operationalize indicators of compromise.
• Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry and turn findings into durable detections.
• Analyze malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals.
• Collaborate to translate intelligence into detection rules, hunting hypotheses, and incident context in real-time.
• Curate inbound intelligence from feeds, open source, government, and trusted peers.
• Contribute to threat models and risk assessments to inform security architecture.
• Build and maintain external intelligence-sharing relationships with peers, ISACs, and government partners.

Skills

Python programming

Threat hunting

Malware analysis

Incident response

Detection engineering

Log analysis

Communication

Education

Bachelor's degree

Tools

YARA

Sigma

Snort/Suricata

SIEM

Job description

About Anthropic

Anthropic’s 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.

About Anthropic

Anthropic’s 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.

About The Role

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 coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll 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. This is a builder's role on a small, high-leverage team — you'll have 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, 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

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary

$320,000—$405,000 USD

Logistics

Minimum education: Bachelor’s 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 aren't 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.

How We're Different

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. We're 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.