Senior Product Marketing Manager, Sunk

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +3 · Marketing

Product Marketing Manager for CoreWeave's SUNK (Slurm on Kubernetes) offering, focusing on positioning and bringing to market a research and training cluster for demanding AI workloads. Responsibilities include defining messaging, creating launch narratives, enabling sales, and demonstrating marketing impact on product adoption and deal velocity.

What you'd actually do

  1. Define differentiated positioning and messaging for CoreWeave SUNK as a core part of the CoreWeave platform, with emphasis on AI research and training workloads.
  2. Partner with customer-facing engineers, solutions architects, and customers to capture in-production use cases for CoreWeave SUNK in research and training environments.
  3. Equip Sales and Solution Architects with outcome-focused deal kits, battlecards, and technical content that support research- and training-focused sales motions.
  4. Deliver updated messaging and positioning materials.

Skills

Required

  • 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.
  • Proven track record of successful product launches and scaled cross-functional marketing programs.
  • Exceptional communication, influencing, and cross‑functional

What the JD emphasized

  • AI workloads
  • research cluster
  • training jobs
  • AI research leaders
  • platform teams
  • technical buyers
  • AI training workloads
  • research clusters
  • AI research or training systems