Full-Time

Technical Project Manager

Updated on 12/20/2024

CoreWeave

CoreWeave

501-1,000 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$90k - $130kAnnually

Mid, Senior

Jackson Township, NJ, USA

Ideal candidate must be based in Central New Jersey with access to a major airport.

Category
Project Management
Engineering Management
Business & Strategy
Requirements
  • Minimum of 3 years of direct experience in data center deployment or infrastructure project implementation or technical project management in data centers. Experience with high-performance compute environments and GPU technologies are a plus.
  • Bachelor's degree in computer science, information technology, or a related field, or relevant experience.
  • Relevant certifications (e.g., PMP, PRINCE2, ITIL, CDCP, CDCS, or similar) are a plus.
Responsibilities
  • Lead the full lifecycle of multiple simultaneous data center deployment projects, including design, construction, testing, commissioning, and handover to operations.
  • Act as the primary point of contact for stakeholders, including clients, vendors, contractors, and internal teams. Facilitate clear communication and collaboration across all parties involved and hold meetings with your vendors and site to meet timelines.
  • Manage and allocate resources (teams, tools, budget) effectively, ensuring that all project phases are adequately staffed and equipped to meet fast-paced timelines.
  • Identify potential project risks, create mitigation strategies, and proactively address issues to minimize disruptions to project timelines.
  • Develop and maintain project schedules, budgets, and resource plans, ensuring projects are delivered within agreed contractual constraints.
  • Ensure that all data center deployments meet technical and quality standards, including compliance with industry best practices and local regulations.
  • Maintain comprehensive project documentation, including design documents, and give regular progress reports.
  • Provide technical guidance in collaboration with experts to teams on best practices for data center design and deployment, including considerations for power, cooling, networking, and physical security.
  • Identify opportunities for process optimization and operational efficiency. Implement best practices and innovative solutions to enhance data center operations.
  • Travel to up to 25% of data center locations to monitor progress, troubleshoot issues, and ensure smooth project execution. Coordinate with local teams, contractors, and vendors during on-site visits.

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. Clients can access these powerful computing resources on a pay-as-you-go basis, avoiding the need for costly hardware investments. The company uses a bare metal serverless Kubernetes platform to enhance performance while reducing operational burdens for clients. CoreWeave stands out by providing a diverse selection of NVIDIA GPUs, allowing clients to optimize their performance and costs.

Company Stage

Private

Total Funding

$1.6B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

35%

1 year growth

146%

2 year growth

828%
Simplify Jobs

Simplify's Take

What believers are saying

  • CoreWeave's partnership with Dell enhances AI cloud services with cutting-edge hardware.
  • The planned Canadian data center with Cohere expands infrastructure for growing AI demands.
  • $600M funding for a Virginia data center supports scaling operations and AI advancements.

What critics are saying

  • Competition from AMD-backed Vultr may lead to price wars and reduced market share.
  • Potential delays in Virginia data center completion could impact market expansion.
  • Over-reliance on Dell hardware poses risks if supply chain disruptions occur.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads for AI, ML, and VFX rendering.
  • Their infrastructure uses bare metal serverless Kubernetes for high performance and efficiency.
  • CoreWeave offers a pay-as-you-go model, providing flexibility and scalability to clients.

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