Engineering Manager, Detection and Response
AnthropicZürich, CHPosted 13 March 2026
Tech Stack
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 DR 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 DR 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
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 ... (truncated, view full listing at source)
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