Senior/Staff Security Engineer, Detection & Response

• Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack • Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats • Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly • Review incident response metrics and procedures, and drive improvements • Work across security and engineering teams • Take part in an on-call rotation

• Experience handling security incidents and investigating anomalies as part of a team • Working knowledge of EDR, SIEM, SOAR, or similar security tooling • A solid understanding of cloud environments and operations • Experience working with engineering teams in a SaaS environment • Proficiency with a scripting language such as Python and query languages such as SQL • Strong communication and collaboration skills • Able to lead projects with little guidance • Able to pick up new languages and technologies quickly • 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience • Security operations or investigations involving large-scale Kubernetes environments • Experience analyzing attack behavior and prototyping high-quality detections • Experience with threat intelligence, malware analysis, infrastructure as code, or forensics • Experience contributing to a high-growth startup environment

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 As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities • Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack • Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats • Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly • Review incident response metrics and procedures, and drive improvements • Work across security and engineering teams • Take part in an on-call rotation Minimum qualifications • Experience handling security incidents and investigating anomalies as part of a team • Working knowledge of EDR, SIEM, SOAR, or similar security tooling • A solid understanding of cloud environments and operations • Experience working with engineering teams in a SaaS environment • Proficiency with a scripting language such as Python and query languages such as SQL • Strong communication and collaboration skills • Able to lead projects with little guidance • Able to pick up new languages and technologies quickly Preferred qualifications • 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience • Security operations or investigations involving large-scale Kubernetes environments • Experience analyzing attack behavior and prototyping high-quality detections • Experience with threat intelligence, malware analysis, infrastructure as code, or forensics • Experience contributing to a high-growth startup environment 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 @anthropic.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. 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. Come work with us! 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 about our policy for using AI in our application process.