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Manager, Technical Support Engineer

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Onsite

Manager, Technical Support Engineer

CoreWeave

Manager, Technical Support Engineer

Skills

NodeMachine LearningAILinuxJiraSystem & Network Administration

2 months ago

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Important information


Contract type:

Permanent

Salary:

$198,000 – $264,000 / year

Location:

Sunnyvale, CA, USA

Work mode:

Onsite

Published on:

13 August 2026

What they need


  • The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience
  • This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform
  • The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development
  • As a Manager of Technical Support Engineering, you’ll be at the center of ensuring our dedicated infrastructure remains stable, reliable, and performant
  • You’ll lead daily support operations, triage incidents, drive escalations, and ensure that hardware is monitored, maintained, and delivered effectively for our clients
  • You’ll oversee a team of experienced Systems Operations Engineers and help build a new team focused on our Bare Metal support model
  • This role balances tactical execution with operational maturity, working cross-functionally with engineering, product, and infrastructure teams to scale processes as we grow
  • Lead a skilled team responsible for maintaining and optimizing physical infrastructure across multiple client environments
  • Build, develop, and lead a dedicated Infrastructure Support team focused on supporting key infrastructure, handling escalations, and ensuring smooth hardware operations
  • Oversee the resolution of infrastructure-related incidents, escalation management, and collaborate with internal teams to deliver effective solutions
  • Improve support processes to enhance efficiency and reduce downtime, ensuring the infrastructure meets client expectations
  • Work closely with product, infrastructure, and other teams to ensure seamless delivery of infrastructure resources
  • Manage client communication during escalations and issue resolution to ensure transparency and client satisfaction
  • Mentor team members, developing their skills to manage and maintain critical infrastructure effectively- Travel up to 30% annually
  • Experience managing ticket-based workflows (Jira, Zendesk, etc.) in a high-urgency technical environment
  • Hands-on experience with Linux system administration and command-line tools
  • 5+ years of experience leading teams responsible for infrastructure support, data center operations, or physical compute environments
  • Comfortable interpreting and acting on metrics (MTTR, SLOs, backlog, ticket trends) to drive operational improvements
  • Familiarity with hardware-level diagnostics, troubleshooting, and replacement (servers, power, cabling, etc.)
  • Proven track record in incident and escalation management, with direct ownership of client or production-impacting issues
  • Skilled in managing scheduling, shift coverage, and team logistics in 24/7 or hybrid support models
  • Experience working with high-performance rack-scale hardware, including CPU and GPU-based compute nodes
  • Understanding of GPU infrastructure (e.g., NVIDIA A100/H100s, PCIe/NVLink, liquid cooling) or a demonstrated ability to quickly learn and adapt to HPC environments
  • Experience managing infrastructure support teams in high-growth or rapidly evolving environments
  • Proven ability to develop and implement operational processes that scale with business needs
  • Strong familiarity with server and GPU hardware lifecycle management: deployment, maintenance, thermal/power concerns, RMA coordination, and decommissioning
  • Skilled in both developing and interpreting metrics to drive accountability, continuous improvement, and executive visibility
  • Demonstrated success in coaching and growing technical teams through training, mentorship, and performance development
  • Familiarity with AI/ML workloads, cluster utilization patterns, or the infrastructure needs of GPU-heavy clients is a plus

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