Senior Manager Of Cloud Platform And Site Reliability (AI)

TL;DR

Senior Manager of Cloud Platform and Site Reliability (AI Infrastructure): Leading and growing the infrastructure organization that powers a machine learning platform with an accent on multi-cloud capacity, GPU inference infrastructure, and reliability standards. Focus on managing team leads, establishing org-wide SLOs/SLIs, and scaling cloud infrastructure to support frontier AI models.

Location: Hybrid (San Francisco)

Salary: $165,000 – $330,000 + Equity

Company

hirify.global powers mission-critical inference for the world's most dynamic AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling.

What you will do

• Lead, grow, and develop team leads across the Cloud Platform and Site Reliability Engineering organizations.
• Set the technical direction and multi-year roadmap for infrastructure, reliability, and platform engineering.
• Own the platform's reliability posture, establishing standards for SLOs/SLIs, incident response, and observability-as-code.
• Collaborate with product and engineering teams to align infrastructure capabilities with enterprise customer requirements.
• Oversee high-severity incident management and escalation processes to ensure rapid resolution and systemic follow-through.
• Ensure the consistent adoption of best practices for Kubernetes, IaC, GitOps, and cloud resource management.

Requirements

• Proven experience managing managers and leading multiple high-performing infrastructure or SRE teams in a high-growth environment.
• Deep technical expertise in Kubernetes (multi-cloud across EKS, GKE) and distributed systems.
• Hands-on background with infrastructure-as-code (Terraform, Pulumi) and CI/CD tooling (GitHub Actions, GitLab CI, Jenkins).
• Strong foundation in observability tooling (Prometheus, VictoriaMetrics, Grafana, OpenTelemetry).
• Experience owning incident management and enterprise SLAs at scale, including executive-level communication.
• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.

Nice to have

• Experience with GPU infrastructure, including fractional GPU provisioning and multi-node model serving (H100s, B200s).
• Familiarity with running high-performance AI models and troubleshooting ML pipelines.
• Experience with incident management platforms like incident.io or PagerDuty.
• Proven track record of scaling an SRE practice and building self-healing automations.

Culture & Benefits

• Competitive compensation with meaningful equity grants.
• 100% coverage of medical, dental, and vision insurance for employees and dependents.
• Flexible PTO policy, including a company-wide Winter Break from Christmas Eve to New Year's Day.
• Company-facilitated 401(k) and paid parental leave.
• Fertility and family-building stipend through Carrot.
• Opportunity to work with a variety of cutting-edge ML startups.