5 hours ago
Base Salary
$182k - $242k/yr
Responsibilities
- Lead, hire, onboard, ramp, and manage the performance of a regional team of Solutions Architects.
- Remain hands-on with customer architecture reviews, deployment escalations, and root-cause analysis involving Kubernetes, networking, storage, and cloud infrastructure.
- Own regional account coverage, on-call responsibilities, escalation paths, and response expectations across time zones.
- Partner with Sales Engineering, Field Engineering, and Support on pre-sales technical validation, deployment planning, and post-sales adoption.
- Convert recurring customer issues into reference architectures, Terraform and Helm assets, runbooks, automation, and enablement content.
- Deliver and coach technical workshops, demonstrations, and customer enablement sessions.
- Provide technical escalation leadership for customer infrastructure failures and advise regional Sales and Field Engineering leadership on technical deal outcomes.
- Provide structured field feedback to Product and Engineering to influence roadmap and deployment-tooling priorities.
Requirements
- 3+ years managing a customer-facing technical team with direct hiring and performance-management responsibility; 5+ years is required for Senior Manager.
- 7+ years of hands-on infrastructure, platform, or SRE experience; 10+ years is required for Senior Manager.
- Demonstrated ability to diagnose and resolve production infrastructure issues in customer-owned environments.
- Hands-on expertise with Docker, Kubernetes, Helm charts, networking fundamentals, and cloud-managed services such as MySQL and object stores.
- Production experience with Infrastructure as Code, preferably Terraform.
- Proficiency with at least one of AWS, GCP, or Azure; knowledge of multiple cloud platforms is preferred.
- Strong Linux/Unix command-line experience and working proficiency in Python.
- Familiarity with ML workflows or tooling and experience supporting both multi-tenant SaaS and customer-managed or on-premises deployments.
- Experience delivering technical workshops, demos, or enablement sessions to customer engineering teams.
- Preferred qualifications include Kubernetes Operators and CRDs, regional technical-team building, Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI, GPU infrastructure, distributed training, SaaS or distributed-systems operations at scale, and air-gapped, sovereign, or regulated-industry deployments.
- Candidates must satisfy the stated U.S. export-control eligibility requirements.
Benefits
- Medical, dental, and vision insurance fully paid for by CoreWeave for US-based full-time employees.
- Company-paid life insurance, voluntary supplemental life insurance, and short- and long-term disability insurance.
- Flexible Spending Account, Health Savings Account, tuition reimbursement, and participation in the Employee Stock Purchase Program.
- Mental wellness benefits through Spring Health and family-forming support through Carrot.
- Paid parental leave, flexible full-service childcare support through Kinside, and a 401(k) with employer match.
- Flexible PTO, catered lunch at office and data center locations, and a casual work environment.
- The role includes export-control eligibility requirements and benefits vary by location.
- The role is full-time; compensation and benefits vary based on market location and eligibility.
Tech Stack
Categories
DevOpsSolutions Engineering
About CoreWeave
CoreWeave is the Essential Cloud for AI. CoreWeave is a cloud purpose-built for scaling, supporting, and accelerating GenAI. We’re a comprehensive platform and strategic partner designed to tackle today—and tomorrow’s—challenges of deploying AI at scale. We manage the complexities of AI growth to make supercomputing accessible and push the limits of what’s possible. Our teams create modern solutions to support modern technology. Get the premier choice for working with GenAI workloads.