Runpod
Director, Security
$200K–$300K
Remote - USA · Remote · Director · Full-time · Posted Oct 8, 2026
- Experience
- 7+ years leading security teams; 8+ years building and securing SaaS, platforms, or IaaS products.
- Visa sponsorship
- Unable to sponsor employment visas; welcomes qualified candidates eligible to work in the United States.
About the job
Leads Runpod’s security organization and end-to-end security posture across its cloud platform, infrastructure, and corporate environments, while supporting secure, compliant, and resilient AI workloads.
What you'll do
- Set security strategy and lead Cloud Security, Application Security, SecOps, and GRC, including hiring and developing the team.
- Drive compliance programs, secure product development, security automation, threat detection, and incident response.
- Oversee infrastructure security and vendor risk, and represent security in customer and cross-functional leadership discussions.
What they ask for
- 7+ years leading security teams, including managers and/or multiple squads, with a record of securing high-scale cloud platforms or infrastructure products.
- 8+ years building and securing SaaS, platforms, or IaaS products; deep knowledge of cloud-native architectures, Kubernetes, Linux OS security, networking, and virtualization.
- Experience building culture, accountability, and momentum across distributed teams; ability to develop and execute security programs and use operational metrics.
- Clear communication and stakeholder-management skills; successful completion of a background check.
Nice to have
- Experience securing cloud infrastructure, developer platforms, distributed compute, or bare-metal environments; expertise in AI/ML security challenges.
- Experience scaling security teams and compliance programs in high-growth startups; open-source security contributions or recognized security research.
Pay
($200,000 - $300,000) USD base salary; $1,200 USD stipend (not specified as base salary or total pay)
Tools
Kubernetes, Linux, SOC 2, ISO 27001, HIPAA, CI/CD, GPU clusters, IAM
AI focus
Secures infrastructure used for AI workloads, with preferred expertise in model protection, tenant isolation in GPU clusters, and secure data pipelines.
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