Senior Product Marketing Manager, CKSTraining

What Youll Do:

As a Senior Product Marketing Manager focused on CoreWeave Kubernetes Service (CKS) you will own positioning and go-to-market strategy for CoreWeaves managed Kubernetes platform for AI training workloads. You will translate complex platform capabilities into clear differentiated narratives for AI platform leaders and platform engineers. Operating independently within a defined product scope you will partner closely with product management and engineering to bring new CKS capabilities to market scale consistent messaging across GTM motions and improve how customers evaluate and adopt Kubernetes for training at scale.

About the Role:

Success in this role requires strong judgment technical fluency and disciplined execution. You will proactively seek customer insight identify gaps in market understanding and iterate on positioning over time to improve clarity and effectiveness. You will use data and feedback to demonstrate how your work contributes to platform adoption deal progress and competitive differentiation.

This role offers the opportunity to have a meaningful impact on a critical part of CoreWeaves training platform working alongside experienced peers and leaders to drive focus consistency and momentum in how CKS is understood and adopted.

1. Positioning & Messaging

• • Define differentiated positioning and messaging for CoreWeave Kubernetes Service (CKS) as a core part of the CoreWeave platform with emphasis on AI training workloads.
  • Develop narratives and demos that clearly articulate when and why customers choose CoreWeaves Kubernetes-based approach for training at scale.
  • Create compelling launch moments and persona-based messaging grounded in real customer use cases and competitive context.
  • Provide clear briefs and guidance to content and demand generation teams to scale messaging across the funnel.

1. Customer Proof

• • Partner with customer-facing engineers solutions architects and customers to capture production use cases for CKS within AI training environments.
  • Create compelling case studies and customer validation assets that demonstrate platform outcomes for training workloads.
  • Collaborate with content marketing to carry customer proof forward across campaigns and sales motions.
  • Establish consistent mechanisms for capturing customer insight from high-value training deployments.

1. GTM & Sales Enablement

• • Equip Sales and Solution Architects with outcome-focused deal kits battlecards and technical content that support platform and training-focused sales motions.
  • Scale messaging through selective partners where their technologies or workloads reinforce CoreWeaves platform positioning for AI training workloads.

1. Metrics & Measurement

• • Deliver updated messaging and positioning materials.
  • Demonstrate impact of internal GTM tools and assets with sales.
  • Map product marketings impact on deal velocity and contract value.
  • Demonstrate product marketings impact on platform adoption and retention.
  • Improve competitive win rates in Kubernetes and training related opportunities.

Who You Are:

• 5 years in product marketing technical marketing product management or GTMideally within cloud infrastructure AI and machine learning SaaS or enterprise tech.
• Strong technical foundation with ability to work directly with engineering teams and solution architects.
• Proven track record of developing or shaping demos reference content and narratives that turn technical capabilities into customer adoption.
• Experience working with customer journeys use cases and customer proof such as case studies or testimonials
• Experience marketing platform or infrastructure products to technical buyers
• Proven track record of successful product launches and scaled cross-functional marketing programs.
• Exceptional communication influencing and crossfunctional partnership abilities with both technical and executive audiences.

Preferred:

• Experience working with AI and machine learning products platforms or workloads.
• Familiarity with large-scale AI training or research environments.
• Experience marketing infrastructure or platform products including Kubernetes AI infrastructure or GPU-accelerated systems.

Wondering if youre a good fit We believe in investing in our people and value candidates who can bring their diverse experiences to our teams even if you arent a 100% skill or experience match. Here are a few qualities weve found compatible with our team. If some of this describes you wed love to talk.

• You love translating complex technical systems into clear outcome-oriented stories
• Youre curious about how customers evaluate adopt and scale AI training platforms
• Youre an expert at shaping positioning that drives focus consistency and momentum across teams

Why CoreWeave

At CoreWeave we work hard have fun and move fast! Were in an exciting stage of hyper-growth that you will not want to miss out on. Were not afraid of a little chaos and were constantly learning. Our team cares deeply about how we build our product and how we work together which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry who will want to learn from you too. Come join us!

The base salary range for this role is $161000 to $237000. The starting salary will be determined based on job-related knowledge skills experience and market location. We strive for both market alignment and internal equity when determining addition to base salary our total rewards package includes a discretionary bonus equity awards and a comprehensive benefits program (all based on eligibility).