Senior Product Marketing Manager, SUNK

Job Summary

As a Senior Product Marketing Manager focused on CoreWeave SUNK (Slurm on Kubernetes), you will be responsible for positioning and bringing to market its research and training cluster offering for the most demanding AI workloads.

Key Responsibilities:

• Develop clear, differentiated positioning and messaging that presents SUNK as the best research cluster for AI training,a researcher-first system that preserves the Slurm workflows teams rely on while reducing the complexity of operating and maintaining large training environments.
• Translate SUNK’s capabilities into narratives that resonate with AI research leaders, platform teams, and technical buyers.
• Operate independently within a defined product scope, partnering closely with product management and engineering to bring new SUNK capabilities to market.
• Collaborate with sales, solutions architects, and marketing partners to scale consistent, outcome-oriented messaging across customer-facing motions.
• Use data and feedback to demonstrate how your work contributes to product adoption, deal progress, and competitive differentiation within the CoreWeave platform.

Requirements:

• 5+ years in product marketing, technical marketing, product management or GTM–ideally 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 translate complex training or research infrastructure 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 research infrastructure, platform engineering, or highly technical buyer audiences.
• Familiarity with AI research or training systems involving schedulers, clusters, or long-running distributed workloads.

Preferred Qualifications:

• Experience working with AI and machine learning products, platforms, or workloads.
• Familiarity with large-scale AI training or research environments, including long-running or failure-sensitive jobs.
• Experience marketing infrastructure or platform products related to schedulers, clusters, Kubernetes, or GPU-accelerated systems.

What We Offer

• Competitive salary: $161,000 - $237,000 per year
• Comprehensive benefits package, including medical, dental, and vision insurance, company-paid life insurance, and flexible spending account
• Opportunities for professional growth and development in a rapidly growing company