Security Engineer Lead, Corporate Security
$320k/y-$405k/y
Anthropica day ago
Highlight
OnsiteFull-timeSenior
Summary
Anthropic is seeking a Security Engineer Lead, Corporate Security to join their team in San Francisco, CA. The role involves owning and driving Anthropic's Corporate Security program as a player-coach Tech Lead Manager.
About the Role
As a Security Engineer Lead, you will be responsible for setting the technical direction, writing code, and shipping tooling alongside a lean team of Security Engineers. You will manage the security architecture, tooling, and controls for the corporate environment, design security automation, and lead vulnerability management for corporate assets. This role requires collaboration with various teams to ensure security is embedded in all aspects of the corporate infrastructure.
About You
Required:
- 8+ years of Security Engineering experience in a corporate/enterprise security domain.
- 2+ years of experience managing or tech-leading a team of engineers.
- Strong engineering skills with regular coding experience.
- Deep experience with macOS fleet security and knowledge of Windows and ChromeOS security.
- Hands-on experience deploying and operating EDR/XDR, MDM, ZTNA, and identity security solutions.
Preferred:
- Experience securing corporate environments at high-growth AI or cloud companies.
- Advanced macOS security knowledge.
- Network security architecture experience for hybrid/multi-office environments.
- Proficiency in Python, Go, or similar languages for building security tooling.
- Familiarity with IaC (Terraform), CI/CD pipelines, and DevSecOps practices.
Benefits
- Competitive compensation with an annual salary range of $320k–$405k.
- Generous vacation and parental leave.
- Flexible working hours and a collaborative office environment.
- Optional equity donation matching.
Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
San Francisco, CA