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, and 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, including 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, as 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

Application deadline and process

There is no deadline to apply. Applications will be received on a rolling basis.

Compensation

The annual compensation range for this role is $320,000 to $405,000 USD (annual salary).

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: Anthropic does sponsor visas, but it isn't able to successfully sponsor visas for every role and every candidate. If an offer is made, Anthropic will make every reasonable effort to get a visa, and it retains an immigration lawyer to help with this.
• Candidates are encouraged to apply even if they do not believe they meet every single qualification. Anthropic urges people from underrepresented groups not to exclude themselves prematurely, and it strives to include a range of diverse perspectives on its team.
• Recruiter safety: Anthropic recruiters only contact candidates from @anthropic.com email addresses. Anthropic may partner with vetted recruiting agencies who identify themselves as working on its behalf. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If unsure about a communication, do not click any links and visit anthropic.com/careers directly for confirmed position openings.

How we're different

Anthropic believes the highest-impact AI research will be big science. It works as a single cohesive team on just a few large-scale research efforts, and it values impact, advancing its long-term goals of steerable, trustworthy AI, rather than smaller and more specific puzzles. Anthropic views AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. It is an extremely collaborative group that hosts frequent research discussions to ensure it is pursuing the highest-impact work at any given time. Communication skills are greatly valued.

The easiest way to understand Anthropic's research directions is to read its recent research. This research continues many of the directions the 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.

Come work with us

Anthropic is a public benefit corporation headquartered in San Francisco. It offers 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: see our policy for using AI in the application process.

How to apply

Apply through the Anthropic careers page at anthropic.com/careers.

Programming and automation

• Python

Detection and rules

• YARA
• Sigma
• Snort
• Suricata
• SIEM-native queries

Cloud and infrastructure

• AWS
• GCP
• Kubernetes
• ML infrastructure

AI tooling

• LLMs (large language models) and other AI tooling