Senior Manager, Production Engineering (AI)

TL;DR

Senior Manager, Production Engineering (AI): Leading and expanding the SRE team to ensure the reliability and performance of a large-scale AI cloud platform with an accent on operational excellence and automation. Focus on designing incident management processes, scaling distributed infrastructure, and implementing self-healing systems.

Location: Must be based in the US (Livingston, NJ; New York, NY; San Francisco, CA; Sunnyvale, CA; or Bellevue, WA). Must be a U.S. person (citizen, green card holder, etc.) for export control compliance.

Salary: $207,000 – $275,000

Company

hirify.global is the Essential Cloud for AI, providing high-performance infrastructure and technical expertise for AI labs, startups, and global enterprises.

What you will do

• Execute the SRE vision and roadmap for large-scale, distributed cloud infrastructure.
• Lead and mentor a high-performing team of SREs, promoting a culture of ownership and continuous learning.
• Champion automation-first practices using AI, Terraform, Kubernetes, and Infrastructure-as-Code.
• Establish and evolve Operational Excellence best practices to ensure platform proactivity.
• Drive initiatives for incident management, root cause analysis, and system hardening.
• Collaborate with engineering and product teams to build scalable, resilient, and self-healing systems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 10+ years in leadership or senior management at a cloud provider, hyperscaler, or high-growth tech company.
• Experience managing geographically distributed 24x7 engineering teams.
• Expertise in designing incident management processes (on-call rotations, SLO/SLA frameworks, postmortems).
• Deep understanding of distributed systems, networking, and storage architecture.
• Must be a U.S. person (U.S. citizen, national, lawful permanent resident, refugee, or asylee) to comply with export control regulations.

Nice to have

• Experience with GPU-accelerated workloads, resource isolation, and performance tuning.
• Prior leadership in bare metal infrastructure environments (custom data centers, HPC clusters).
• Working knowledge of DPUs, service mesh architectures, and multi-tenant security models.
• Experience in AI infrastructure supporting training or inference at scale.

Culture & Benefits

• Comprehensive health, dental, and vision insurance (100% paid by the company).
• 401(k) with a generous employer match and ESPP participation.
• Equity awards and discretionary bonuses.
• Flexible PTO and paid parental leave.
• Daily catered lunch at office and data center locations.
• Support for mental wellness and family-forming (Spring Health, Carrot).