Security Engineer - Threat Intel

Anthropic$320K — $405K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis against sophisticated adversaries
  • Deep knowledge of nation-state or advanced criminal threat actors and their tooling
  • Strong engineering skills with experience in Python or similar languages for building automation
  • Comfort with malware analysis and log analysis for validation of findings
  • Experience authoring detection logic and understanding detection durability
  • Clear and concise writing ability for effective intelligence products
  • Existing network in the threat intelligence community for productive sharing

Responsibilities

  • Research and report on threat actors and campaigns affecting AI labs and technology sector
  • Build and maintain tooling and pipelines for operationalizing indicators of compromise
  • Develop and execute intelligence-driven threat hunts across various telemetry
  • Perform technical analysis of malware and attacker tooling
  • Collaborate with Detection Engineers to translate intelligence into actionable detection rules
  • Curate inbound intelligence from various sources for relevance to Anthropic's threat model
  • Contribute to threat models and risk assessments for security architecture

Benefits

  • Visa sponsorship available
  • Hybrid work policy with 25% in-office expectation
  • Commitment to diversity and inclusion in hiring practices
  • Access to a network of external intelligence-sharing relationships
  • Opportunities for personal and professional growth in a cutting-edge environment
Full Job Description
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.

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 you're interested in this work. We think AI systems like the ones we're 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 from [redacted].com email addresses. In 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 you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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