Director of Product Marketing, Agentic AI

About the role

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. This is a highly visible, high-impact leadership role at the center of one of the fastest-evolving categories in AI.

Responsibilities

• 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
• Translate technical platform capabilities into accessible stories anchored in real customer outcomes and business impact
• 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: Build and execute joint GTM programs with key partners in the agentic AI ecosystem: agent framework providers, model providers, and complementary AI tooling companies
• Define CoreWeave's role in the emerging agentic stack, positioning the platform as foundational infrastructure that partners build on and enterprises rely on
• Collaborate with technology alliances and business development to shape partner-facing messaging, integration narratives, and co-marketing programs
• 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
• Partner with analyst relations to establish CoreWeave's presence and voice in coverage of AI infrastructure, cloud for AI, and agentic AI trends
• Create and distribute thought leadership content — white papers, technical blogs, benchmark reports, webinars — that establishes CoreWeave as the authoritative voice on infrastructure for agentic AI
• Partner with PR and communications to amplify CoreWeave's story through press, influencer engagement, and keynote opportunities
• 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
• Track the evolving agentic AI landscape — new model capabilities, agent frameworks, and enterprise adoption patterns — and translate findings into actionable positioning updates

Requirements

10+ years in product marketing, solutions marketing, or GTM roles in AI, cloud infrastructure, or developer platforms

Deep familiarity with AI/ML infrastructure, inference, and the technical demands of deploying large-scale AI systems in production

Proven ability to develop narratives that bridge deep technical complexity and business impact for both technical and executive audiences

Strong track record in GTM execution: campaign strategy, sales enablement, partner marketing, and pipeline-driven programs

Demonstrated success building customer reference programs, thought leadership franchises, and analyst engagement strategies

Comfortable operating in a fast-moving, high-impact environment with a builder mindset and strong cross-functional collaboration skills

Preferred 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

Experience with developer-focused or open-source GTM motions