Product Marketing Manager, CoreWeave

• 5+ years in product marketing, technical marketing, product management or GTM–ideally within cloud infrastructure, AI/ML, developer platforms, SaaS, or enterprise tech.
• Demonstrated ability to translate technical capabilities into clear, differentiated positioning and customer-facing narratives for technical buyers
• Strong cross-functional partnership skills, with experience working closely with product and engineering teams
• Experience supporting product launches and creating core GTM assets (messaging, web/launch content, sales enablement, competitive materials)
• Excellent written and verbal communication skills across technical and executive audiences

Desirable

• As a Product Marketing Manager focused on CoreWeave AI Inference, you will be responsible for how CoreWeave positions and brings to market its inference capabilities for teams running models in production.
• Inference is where AI transitions from experimentation to real-world delivery—and where new failure modes emerge: scaling and reliability under bursty traffic, operational ownership, cost predictability, and security/compliance requirements
• In this role, you will develop clear, differentiated positioning and messaging for AI Platform Leaders and Platform Engineers who operate production inference infrastructure, AI Engineers who deploy models into applications, and technical executives who guide platform strategy.
• You will translate complex infrastructure and runtime choices into straightforward narratives that help customers understand when and why CoreWeave is the right platform for production inference—enabling predictable performance at scale, transparent infrastructure-based economics, and control over GPUs and open runtimes
• You will operate independently within a defined product scope, partnering closely with product management and engineering to bring new inference capabilities to market.
• This includes shaping launch narratives, building persona-based messaging grounded in real customer use cases, and ensuring go-to-market assets reflect how buyers evaluate inference platforms across performance, cost, flexibility, and operational confidence.
• You will collaborate with sales, solutions architects, and marketing partners to scale consistent, outcome-oriented messaging across customer-facing motions
• Success in this role requires strong judgment, technical fluency, and disciplined execution. You will proactively seek customer and field insight, identify gaps in market understanding, and iterate on messaging over time to increase clarity, differentiation, and adoption impact
• Positioning & Messaging
• Define differentiated positioning and messaging for CoreWeave AI Inference as a core part of the CoreWeave platform, built for production inference workloads
• Develop narratives that clarify CoreWeave’s value for production inference: predictable performance at scale, transparent infrastructure-aligned economics, and control/flexibility via explicit GPU selection and open runtimes
• Create persona-based messaging mapped to real buyer concerns (platform operations, AI engineering deployment, exec-level tradeoffs across cost/control/velocity)
• Produce messaging frameworks, briefs, and content guidance that enable consistent execution across web, sales assets, product launches, and campaigns
• Partner with customer-facing teams to capture production inference use cases, migration stories, and proof points that demonstrate operational reliability and predictable economics
• Create or support case studies, reference one-pagers, and customer validation assets that reinforce CoreWeave’s inference credibility with technical buyers
• Establish mechanisms to gather ongoing customer, partner, and field insight to sharpen messaging and address objections over time
• Equip Sales and Solutions Architects with outcome-focused materials: deal kits, pitch decks, battlecards, FAQs, and technical explainers tailored to inference buyers
• Help the field articulate CoreWeave’s differentiation for inference (control over GPU/runtime, infrastructure-based pricing, production-grade operations) and handle common competitive comparisons
• Collaborate with demand gen and content teams to ensure inference messaging scales consistently across the funnel
• Partner with product and engineering to plan and execute launches for inference capabilities (from early framing through asset delivery and sales readiness)
• Translate product capabilities into crisp customer outcomes tied to production inference realities: scaling behavior, model loading/runtime flexibility, observability, reliability, and cost control
• Support competitive and category storytelling that helps buyers navigate “DIY vs managed” tradeoffs—and understand CoreWeave’s position in the market
• Deliver and maintain updated inference messaging and core GTM artifacts
• Track adoption and GTM effectiveness using qualitative and quantitative signals (field feedback, asset usage, win/loss themes, pipeline influence where available)
• Identify the highest-leverage gaps in buyer understanding and prioritize iterations that improve deal velocity and competitive clarity