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Full-Time

Implementation Manager

Data Center Operations

Confirmed live in the last 24 hours

CoreWeave

CoreWeave

201-500 employees

Cloud service for GPU-accelerated workloads

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$90k - $130kAnnually

Senior, Expert

Remote in USA

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Python
Requirements
  • Minimum of 5 years of experience in implementation or technical project management in data center operations or cloud computing. Experience with high-performance compute environments and GPU technologies is a must.
  • Project Management Skills: Proven track record of successfully managing complex technical projects from initiation to completion. Strong understanding of project management methodologies and tools.
  • Data Center Operations: In-depth knowledge of data center infrastructure, including servers, storage, networking, power, and cooling systems. Familiarity with data center best practices and industry standards.
  • Leadership and Communication: Excellent leadership and team management skills. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
  • Problem Solving: Ability to analyze complex technical issues, troubleshoot problems, and propose innovative solutions. Strong decision-making and critical-thinking abilities.
  • Compliance and Security: Familiarity with data center compliance requirements, security protocols, and risk management practices.
  • Technical Aptitude: Solid understanding of GPU technologies, cloud computing concepts, and virtualization technologies. Proficiency in relevant scripting languages, such as Python or PowerShell, is a plus.
  • Flexibility and Adaptability: Ability to work in a fast-paced and dynamic environment, prioritize tasks, and adapt to changing requirements.
  • Education: Bachelor's degree in computer science, information technology, or a related field. Relevant certifications (e.g., PMP, ITIL) are a plus.
Responsibilities
  • Establish and Optimize Processes: Develop and implement standardized processes and procedures for efficient and effective data center operations, ensuring maximum uptime, scalability, and security.
  • Data Center Infrastructure Management: Oversee the planning, deployment, and maintenance of data center infrastructure, including servers, storage systems, networking equipment, and power and cooling systems.
  • Resource Allocation and Capacity Planning: Collaborate with cross-functional teams to forecast and allocate resources to meet customer demands and optimize utilization of data center infrastructure.
  • Incident Management: Lead the incident response process and manage critical situations, working closely with technical teams to quickly resolve issues and minimize downtime.
  • Vendor Management: Collaborate with vendors and suppliers to ensure the availability of necessary equipment, negotiate contracts, and maintain strong working relationships.
  • Training and Evaluation: Develop training programs for data center technicians to ensure their competence in handling data center operations. Evaluate and provide feedback on the performance of technicians regularly.
  • Compliance and Security: Ensure compliance with industry standards, regulations, and security protocols. Implement and monitor robust security measures to protect data center infrastructure and customer data.
  • Performance Monitoring and Reporting: Establish monitoring mechanisms to track data center performance, identify bottlenecks, and generate regular reports to management on key operational metrics.
  • Continual Improvement: Identify opportunities for process optimization and operational efficiency. Implement best practices and innovative solutions to enhance data center operations.

CoreWeave offers cloud computing services that specialize in GPU-accelerated workloads, which are crucial for tasks like artificial intelligence, machine learning, and visual effects rendering. Their infrastructure is built on a bare metal serverless Kubernetes platform, allowing clients to access powerful computing resources without the need for expensive hardware. CoreWeave's pay-as-you-go pricing model provides flexibility and scalability, making it appealing to tech companies, film studios, and enterprises. The company's goal is to deliver high-performance computing resources that meet the increasing demands of various industries.

Company Stage

Series B

Total Funding

$12B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

62%

1 year growth

134%

2 year growth

719%
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Simplify's Take

What believers are saying

  • Securing $1.1 billion in funding positions CoreWeave for aggressive growth and innovation in the AI and HPC sectors.
  • The appointment of former AWS executive Chetan Kapoor as Chief Product Officer brings valuable expertise and leadership to drive product strategy during a hypergrowth phase.
  • CoreWeave's $2.2 billion investment in European data centers demonstrates their commitment to expanding global reach and meeting surging demand for AI infrastructure.

What critics are saying

  • The competitive landscape with giants like AWS launching high-core instances could pressure CoreWeave to continuously innovate to maintain its edge.
  • Rapid expansion, including significant investments in new data centers, could strain resources and operational capabilities.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads, setting it apart from general cloud service providers like AWS and Azure.
  • Their fully managed, bare metal serverless Kubernetes platform offers high performance with reduced operational burden, a unique selling point in the cloud computing market.
  • CoreWeave's strategic partnerships, such as with Bloom Energy for on-site power generation, enhance their infrastructure's reliability and sustainability.