Snap Switzerland GmbH, Zurich Branch
Security Engineering Manager, Detection & Response(m/w/x)
Full-timeOn-siteManagement
Zürich
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ANAnthropic
Engineering Manager, Detection and Response(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Leading teams building security observability and incident response programs for safe AI systems. 5+ years engineering management experience building security teams essential; AI/ML security risks knowledge preferred. Flexible working hours, generous vacation, parental leave.
Requirements
- 10+ years building cloud-native detection and response capabilities
- 5+ years engineering management experience, building/scaling security teams
- Deep understanding of security monitoring, threat detection, incident response, forensics
- Experience securing complex cloud environments (Kubernetes, AWS/GCP)
- Knowledge of AI/ML security risks, detection, response strategies
- Strong verbal and written communication skills
- Cross-functional collaboration and balancing security with business objectives
- Ability to drive high-impact work, adapt to changing priorities
- Passion for building diverse, high-performing teams
- Low ego, high empathy, talent attraction/retention track record
- Bachelor's degree in related field or equivalent experience
Tasks
- Lead teams to create security observability programs.
- Lead teams to create detection lifecycle programs.
- Lead teams to create security incident response programs.
- Manage and grow a high-performing D&R team.
- Plan strategy for team growth.
- Hire to support rapid growth.
- Support AI safety requirements.
- Navigate prioritization in a fast-paced environment.
- Balance operational demands.
- Build innovative, scalable solutions.
- Collaborate to build prevention capabilities.
- Collaborate to build observability capabilities.
- Collaborate to build detection capabilities.
- Collaborate to build response capabilities.
- Facilitate development of AI-leveraged D&R solutions.
- Enable self-service observability capabilities.
- Enable self-service detection capabilities.
- Build partnerships with product teams.
- Build partnerships with infrastructure teams.
- Build partnerships with research teams.
- Instill security monitoring best practices.
- Own and improve security incident response policies.
- Own and improve security incident response playbooks.
- Own and improve data management policies.
- Own and improve data management playbooks.
- Own and improve detection engineering policies.
- Own and improve detection engineering playbooks.
- Operate the threat intelligence program.
- Maintain relationships with external security partners.
- Maintain relationships with information sharing communities.
- Drive capability maturity across the detection lifecycle.
- Establish metrics and KPIs to measure effectiveness.
Work Experience
- 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kubernetes
- AWS
- GCP
- AI/ML
Benefits
Flexible Working
- Flexible working hours
Competitive Pay
- Competitive compensation
More Vacation Days
- Generous vacation
Generous Parental Leave
- Parental leave
Modern Office
- Lovely office space
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Anthropic and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ANAnthropic
Engineering Manager, Detection and Response(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Leading teams building security observability and incident response programs for safe AI systems. 5+ years engineering management experience building security teams essential; AI/ML security risks knowledge preferred. Flexible working hours, generous vacation, parental leave.
Requirements
- 10+ years building cloud-native detection and response capabilities
- 5+ years engineering management experience, building/scaling security teams
- Deep understanding of security monitoring, threat detection, incident response, forensics
- Experience securing complex cloud environments (Kubernetes, AWS/GCP)
- Knowledge of AI/ML security risks, detection, response strategies
- Strong verbal and written communication skills
- Cross-functional collaboration and balancing security with business objectives
- Ability to drive high-impact work, adapt to changing priorities
- Passion for building diverse, high-performing teams
- Low ego, high empathy, talent attraction/retention track record
- Bachelor's degree in related field or equivalent experience
Tasks
- Lead teams to create security observability programs.
- Lead teams to create detection lifecycle programs.
- Lead teams to create security incident response programs.
- Manage and grow a high-performing D&R team.
- Plan strategy for team growth.
- Hire to support rapid growth.
- Support AI safety requirements.
- Navigate prioritization in a fast-paced environment.
- Balance operational demands.
- Build innovative, scalable solutions.
- Collaborate to build prevention capabilities.
- Collaborate to build observability capabilities.
- Collaborate to build detection capabilities.
- Collaborate to build response capabilities.
- Facilitate development of AI-leveraged D&R solutions.
- Enable self-service observability capabilities.
- Enable self-service detection capabilities.
- Build partnerships with product teams.
- Build partnerships with infrastructure teams.
- Build partnerships with research teams.
- Instill security monitoring best practices.
- Own and improve security incident response policies.
- Own and improve security incident response playbooks.
- Own and improve data management policies.
- Own and improve data management playbooks.
- Own and improve detection engineering policies.
- Own and improve detection engineering playbooks.
- Operate the threat intelligence program.
- Maintain relationships with external security partners.
- Maintain relationships with information sharing communities.
- Drive capability maturity across the detection lifecycle.
- Establish metrics and KPIs to measure effectiveness.
Work Experience
- 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kubernetes
- AWS
- GCP
- AI/ML
Benefits
Flexible Working
- Flexible working hours
Competitive Pay
- Competitive compensation
More Vacation Days
- Generous vacation
Generous Parental Leave
- Parental leave
Modern Office
- Lovely office space
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Anthropic and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Anthropic
Industry
Science
Description
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
Not a perfect match?
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