Anthropic· Security· Zürich, CH
Engineering Manager, Detection and Response
Classified Tasks (13)
Automate 0%Augment 46%Human-Only 54%
Augment (6)
AI assists, human decides
Prioritize operational demands and engineering initiatives to balance immediate incident response needs with building innovative, scalable security solutions.
operational
Facilitate development of scalable, AI-leveraged detection and response solutions that enable self-service observability and detection capabilities.
technical
Own and continuously improve Security Incident Response policies and playbooks.
operational
Own and continuously improve Data Management policies related to detection and response.
administrative
Own and continuously improve Detection Engineering policies and playbooks.
operational
Drive capability maturity across the detection lifecycle and establish metrics and KPIs to measure effectiveness.
analytical
Human-Only (7)
Requires human judgment
Lead Detection and Response teams to create comprehensive Security Observability, Detection Lifecycle, and Security Incident Response programs.
leadership
Collaborate with teams and leaders across Anthropic on observability, detection, investigation, incident response, and intelligence activities.
communication
Manage and grow a high-performing Detection & Response (D&R) team, including planning strategy and conducting hiring to support organizational growth.
leadership
Coordinate with preventative security engineering and other cross-functional teams to build prevention, observability, detection, and response capabilities across the security lifecycle.
communication
Build partnerships with product, infrastructure, and research teams to implement and instill security monitoring best practices.
communication
Operate the threat intelligence program and maintain relationships with external security partners and information-sharing communities.
communication
Oversee detection investigations and incident response operations to ensure effective investigation and remediation.
operational
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 the Role We are seeking a Detection and Response Engineering Manager to lead our Detection and Response teams in creating comprehensive Security Observability, Detection Lifecycle, and Security Incident Response programs for Anthropic. You will collaborate closely with teams and leaders across Anthropic, focusing on the observability, detection, investigation, incident response, and intelligence portions of the security lifecycle. You will collaborate closely with preventative security engineering teams and other cross-functional teams. What you’ll do: Manage and grow a high-performing D&R team, planning strategy and hiring to support Anthropic's rapid growth and unique AI safety requirements Navigate prioritization in a fast-paced frontier environment, balancing operational demands with building innovative, scalable solutions for the future Collaborate across security engineering teams to build comprehensive prevention, observability, detection, and response capabilities throughout the security lifecycle Facilitate development of scalable, AI-leveraged D&R solutions that enable self-service observability and detection capabilities across Anthropic Build partnerships with product, infrastructure, and research teams to instill security monitoring best practices Own and continuously improve Security Incident Response, Data Management, and Detection Engineering policies and playbooks Operate our threat intelligence program and maintain relationships with external security partners and information sharing communities Continuously drive capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness Who you are: 10+ years building detection and response capabilities in a cloud-native organization 5+ years of engineering management experience with a proven track record of building and scaling security teams Deep understanding of security monitoring, threat detection, incident response, and forensics best practices Experienced in securing complex cloud environments (Kubernetes, AWS/GCP) with modern detection technologies Knowledgeable in AI/ML security risks, detection patterns, and response strategies Strong verbal and written communication skills with the ability to distill complex security topics Skilled at collaborating cross-functionally and effectively balancing security requirements with business objectives Able to drive high-impact work while incorporating feedback and adapting to changing priorities Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment Low ego, high empathy, and have a track record as a talent magnet who attracts and retains top security talent Deadline to apply: None, applications will be received on a rolling basis. 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: