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.
As a Detection and Response Engineering Manager, 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 also navigate prioritization in a fast-paced frontier environment, balancing operational demands with building innovative, scalable solutions for the future.
Key responsibilities include:
- Managing and growing a high-performing D&R team, planning strategy and hiring to support Anthropic's rapid growth and unique AI safety requirements
- Collaborating across security engineering teams to build comprehensive prevention, observability, detection, and response capabilities throughout the security lifecycle
- Facilitating development of scalable, AI-leveraged D&R solutions that enable self-service observability and detection capabilities across Anthropic
- Building partnerships with product, infrastructure, and research teams to instill security monitoring best practices
- Owning and continuously improving Security Incident Response, Data Management, and Detection Engineering policies and playbooks
- Operating our threat intelligence program and maintaining relationships with external security partners and information sharing communities
- Continuously driving capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness
Requirements include:
- 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
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.
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