Engineering Manager, Detection and Response

Anthropic•San Francisco, NY

13h•$405,000 - $485,000•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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
Continuously drive capability maturity across the detection lifecycle, establishing metrics and KPIs to measure effectiveness