Engineering Manager, Detection and Response
San Francisco, CA | New York City, NYFull-TimeManagerSoftware Engineering
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
- 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.
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
