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Full-Time

VP – Product Management

AI Services

Posted on 10/18/2024

CoreWeave

CoreWeave

201-500 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$275k - $340kAnnually

Senior, Expert

Livingston, NJ, USA + 3 more

More locations: Brooklyn, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA

Hybrid workplace; requires in-office presence.

Category
Product Management
Product
Required Skills
Kubernetes
Product Management
Requirements
  • 10+ years of experience in product management, with at least 5 years in a senior leadership role in the cloud services or AI/ML market.
  • Deep understanding of AI/ML workloads, cloud infrastructure (GPUs), and cloud-native architectures (Kubernetes, microservices).
  • Proven ability to lead and scale product teams, with strong decision-making, project management, and mentoring skills.
  • Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions.
  • Excellent verbal and written communication skills with the ability to influence cross-functional teams and stakeholders.
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field. MBA or equivalent experience is a plus.
  • Ability to think strategically while being able to dive into technical details to guide the product team.
  • Proven track record of driving business growth through innovative product solutions in the AI and cloud space.
Responsibilities
  • Help refine the product strategy for AI application cloud services aimed at foundational model training and Inference, along with focus on optimization across the entire CoreWeave product portfolio for Foundation Model Training & Inference.
  • Own the product roadmap, balancing near-term customer needs with long-term vision, to deliver differentiated and scalable AI cloud services.
  • Stay current on advancements in AI/ML technologies, cloud infrastructures, and software development methodologies to inform product decisions and foster innovation.
  • Collaborate with key customers to understand their AI workloads, pain points, and future requirements to continuously improve our service offerings.
  • Lead a high-performing product management team and collaborate with engineering, sales, marketing, and customer success teams to ensure seamless product development and deployment.
  • Analyze market trends, customer feedback, and the competitive landscape to identify growth opportunities and ensure CoreWeave stays ahead of industry trends.
  • Partner with marketing and sales teams to develop and execute effective go-to-market strategies for AI cloud services, including positioning, messaging, and competitive differentiation.

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

61%

1 year growth

192%

2 year growth

867%
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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.

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