CoreWeave
Director of Product Marketing, Agentic AI
New York, NY / Sunnyvale, CA · Director
Sponsorship not specifiedDetected 23 days ago
Cloud PlatformsMachine LearningAgentic AIProduct ManagementProduct StrategySalesBusiness DevelopmentResearchLeadershipCommunicationCollaboration
About the role
- Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.
- We're in an exciting stage of hyper-growth that you will not want to miss out on.
Responsibilities
- You'll shape how we position CoreWeave's inference capabilities, platform tooling, and underlying compute for agentic workloads, and partner closely with product, sales, and field marketing to turn that narrative into campaigns, sales plays, and customer proof points that drive adoption and pipeline.
- Lead the development of CoreWeave's positioning as the premier infrastructure platform for agentic AI, spanning inference, orchestration, and developer tooling
- Create messaging frameworks and audience-specific value propositions targeting AI Leaders, ML Platform Engineers, CTOs, AI Engineers, and AI Researchers
- Build compelling narratives around CoreWeave's core differentiation for agentic workloads: high-throughput multi-model inference, low-latency serving, persistent storage for long-horizon tasks, and network fabric optimized for agent pipelines
- Design and execute go-to-market programs targeting AI-native companies, enterprises, and leading research labs building and deploying agentic AI systems
- Build and maintain use-case playbooks aligned to the highest-value agentic workloads: autonomous coding agents, multi-agent reasoning pipelines, AI-powered automation, and real-time decision systems
- Develop sales enablement materials - first-call decks, competitive battlecards, and executive narratives - equipping field sellers to lead technical and strategic conversations with AI buyers
- Partner with demand generation to define campaign strategy, measure pipeline influence, and optimize for target account penetration
- Support major event activations including Fully Connected, NVIDIA GTC, NeurIPS, AI Engineer World's Fair, and MLCommons benchmarking
- Ecosystem & Partner GTM
Requirements
- 10+ years in product marketing, solutions marketing, or GTM roles in AI, cloud infrastructure, or developer platforms
Nice to have
- Background in inference infrastructure, model serving, or AI platform products
- Hands-on familiarity with agentic AI frameworks, orchestration systems, or multi-model deployment patterns
- Experience marketing to AI researchers, ML engineers, and AI platform teams
- Established relationships in the AI developer and research ecosystem
- Experience with developer-focused or open-source GTM motions
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
Skills
- CoreWeave is The Essential Cloud for AI™.
- Conduct ongoing market, competitor, and customer research to identify emerging agentic AI infrastructure requirements and GTM opportunities
- Synthesize insights from customer conversations, POCs, and deployments to inform product roadmap priorities and go-to-market strategy
- Comfortable operating in a fast-moving, high-ambiguity environment with a builder mindset and strong cross-functional collaboration skills
Benefits
- Partner with analyst relations to establish CoreWeave's presence and voice in coverage of AI infrastructure, cloud for AI, and agentic AI trends
Company info
- Learn more at www.coreweave.com.
- CRWV) in March 2025.
- We are seeking a Director of Product Marketing to define and drive the go-to-market strategy, positioning, and storytelling for CoreWeave's Agentic AI platform.
- Build and scale a customer proof program featuring case studies and reference customers across AI labs, enterprises, and high-growth AI startups deploying agents in production, in partnership with the customer marketing lead
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This listing is sourced directly from CoreWeave's careers page and normalized into a canonical job model.