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CoreWeave

Rents GPU cloud computing for AI developers

Director of Product Marketing - Agentic AI

Product MarketingUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of experience in product marketing, solutions marketing, or go-to-market roles in AI, cloud infrastructure, or developer platforms.
  • Deep familiarity with AI and machine-learning infrastructure, inference, and the technical demands of deploying large-scale AI systems in production.
  • Ability to develop narratives that bridge technical complexity and business impact for technical and executive audiences.
  • A strong track record in go-to-market execution, including campaign strategy, sales enablement, partner marketing, and pipeline-driven programs.
  • Demonstrated success building customer reference programs, thought leadership franchises, and analyst engagement strategies.
  • Comfort operating in a fast-moving, high-ambiguity environment and collaborating cross-functionally.
  • Access to technology and/or source code subject to U.S. export control laws is limited to compliance with applicable U.S. export-control requirements; the recruitment process may request limited information to assess applicable requirements.

Responsibilities

  • Lead positioning of CoreWeave as an infrastructure platform for agentic AI across inference, orchestration, and developer tooling.
  • Create messaging frameworks and audience-specific value propositions for AI leaders, machine-learning platform engineers, chief technology officers, AI engineers, and AI researchers.
  • Build narratives around CoreWeave’s agentic-workload differentiation, including 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 grounded in customer outcomes and business impact.
  • Design and execute go-to-market programs for AI-native companies, enterprises, and research labs building and deploying agentic AI systems.
  • Build and maintain use-case playbooks for autonomous coding agents, multi-agent reasoning pipelines, AI-powered automation, and real-time decision systems.
  • Develop first-call decks, competitive battlecards, and executive narratives to equip field sellers for technical and strategic conversations with AI buyers.
  • Partner with demand generation on campaign strategy, pipeline-influence measurement, and target-account penetration optimization.
  • Support event activations, including Fully Connected, NVIDIA GTC, NeurIPS, AI Engineer World’s Fair, and MLCommons benchmarking.
  • Build and execute joint go-to-market programs with agent-framework providers, model providers, and complementary AI-tooling companies.
  • Define CoreWeave’s role in the emerging agentic stack and position the platform as foundational infrastructure for partners and enterprises.
  • Collaborate with technology alliances and business development on partner 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, in partnership with the customer marketing lead.
  • Partner with analyst relations to establish CoreWeave’s presence in coverage of AI infrastructure, cloud for AI, and agentic AI trends.
  • Create and distribute white papers, technical blogs, benchmark reports, and webinars establishing CoreWeave as an authoritative voice on agentic AI infrastructure.
  • Partner with public relations 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 go-to-market opportunities.
  • Synthesize insights from customer conversations, proofs of concept, and deployments to inform product-roadmap priorities and go-to-market strategy.
  • Track model capabilities, agent frameworks, and enterprise-adoption patterns, and translate findings into actionable positioning updates.

Desired Qualifications

  • 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, machine-learning engineers, and AI platform teams.
  • Established relationships in the AI developer and research ecosystem.
  • Experience with developer-focused or open-source go-to-market motions.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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