Engineering Manager, Detection and Response

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.