Senior Manager, Production Engineering
About the role
As we continue to scale the CoreWeave Cloud Platform, ensuring reliability, performance, and operational efficiency in a live production environment is mission-critical. We're seeking a Senior Manager of Production Engineering to lead and expand our SRE team and practices.
Responsibilities
Contribute and execute the SRE vision, strategy, and roadmap for a large-scale, distributed cloud infrastructure.
Lead and mentor a high-performing team of SREs, promoting a culture of ownership, collaboration, and continuous learning.
Champion automation-first practices, leveraging AI, tools like Terraform, Kubernetes, and Infrastructure-as-Code to minimize toil and manual interventions.
Establish and evolve Operational Excellence best practices ensuring the platform is proactive and propagates organizational learning.
Drive initiatives for incident management, postmortem culture, root cause analysis, and system hardening.
Collaborate with engineering, product, and customer support teams to build scalable, resilient, and self-healing systems.
Evolve our on-call strategy and processes to support a 24x7, globally distributed platform with minimal disruptions.
Who You Are
We’re looking for a thoughtful leader who blends technical depth with strategic vision, and thrives in fast-moving, high-growth environments. If you value clarity over complexity, mentorship over management, and resilience over rigidity, you’ll fit right in.
Minimum Qualifications
Bachelor’s degrees in Computer Science, Engineering, or related fields.
10+ years in a leadership or senior management role at a cloud provider, hyperscaler, or high-growth tech company.
Experience hiring, developing, and managing geographically distributed 24x7 engineering teams.
Experience in designing and implementing incident management processes including on-call rotations, escalation paths, postmortems, and SLO/SLA framework.
Strong foundation in systems engineering, with a deep understanding of distributed systems, networking, and storage architecture.
Strong cross-functional collaboration skills, with the ability to influence product, platform, hardware, and security teams.
Additional Qualifications
Experience building platform tooling and internal developer portals to improve engineering velocity and operational visibility.
Familiarity with GPU-accelerated workloads, including resource isolation, scheduling, and performance tuning.
Experience working in AI infrastructure environments supporting training or inference at scale.
Background in compliance, reliability risk modeling, or operational maturity assessments (e.g., RTO/RPO, chaos engineering).
Prior leadership experience in bare metal infrastructure environments (e.g., custom data centers, edge compute, HPC clusters).
Working knowledge of DPUs, service mesh architectures, and multi-tenant security models.
Pay
The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.