Product Marketing Manager

Responsibilities As a Product Marketing Manager for CoreWeave software products like W&B Models and W&B Weave, you will help define and scale the narratives, product launches, and go-to-market strategy for the platform that AI researchers and developers rely on to build, evaluate, and improve AI models and agents. You will sit at the intersection of AI research, model and agent development, and production AI operations, translating deeply technical capabilities into compelling stories that resonate with AI researchers, engineers, platform teams, and technical decision-makers. Working closely with Product, Engineering, Sales, Developer Relations, and Customer Marketing, you’ll help shape how the market understands and adopts the next generation of AI development workflows. This is a highly cross-functional role that requires technical fluency, excellent communication skills, and a passion for helping developers build better AI products. Develop compelling positioning and messaging for products across experiment tracking, model evaluation, agent observability improvement and, and MLOps workflows. Create narratives, demos, and product storytelling that clearly communicate CoreWeave’s differentiation and value to AI researchers, engineers, platform teams, and technical decision-makers. Support product launches with persona-driven messaging grounded in customer insights, market research, and product adoption data. Partner with Demand Generation and Content Marketing to develop campaign briefs and messaging frameworks that scale across the customer journey. Partner with Customer Success and Sales teams to uncover customer stories, use cases, and measurable outcomes. Develop customer case studies, testimonials, and reference materials that demonstrate the business and technical impact of our products. Collaborate with Content Marketing and Demand Generation teams to amplify customer successes through blogs, webinars, events, and other thought leadership channels. Gather and synthesize customer feedback, competitive intelligence, and market trends to inform messaging, positioning, and product strategy. Help establish repeatable processes for capturing customer insights and sharing them across the organization. Equip Sales, Solutions Architects, and Customer Success teams with messaging frameworks, battlecards, competitive intelligence, presentations, and technical enablement content. Develop product-focused content that clearly articulates the value of our platform for building, evaluating, and operating AI systems. Support product launches and adoption initiatives in partnership with Product, Engineering, Developer Relations, and Sales teams. Collaborate with strategic technology and ecosystem partners to strengthen CoreWeave’s market presence and developer adoption. Be the hands‑on product expert by building and running AI workflows with the tools, creating compelling demos, and leveraging firsthand product experience to shape messaging, enablement, and customer engagements. Measure the effectiveness of product positioning, messaging, and launch activities through adoption, engagement, and pipeline metrics. Track the impact of sales enablement assets and go‑to‑market programs on pipeline generation, deal velocity, and win rates. Analyze product adoption and customer retention trends to identify opportunities for improved messaging and growth. Monitor competitive dynamics and help improve performance in strategic opportunities. Report on product marketing’s contribution to awareness, adoption, customer expansion, and revenue growth. Qualifications Proven ability to manage cross‑functional projects and contribute to successful product launches, adoption initiatives, and integrated marketing campaigns 3+ years of experience in Product Marketing, Technical Marketing, Product Management, Developer Marketing, or a related go‑to‑market role, ideally within AI/ML, developer tools, SaaS, data platforms, or enterprise software. Strong technical aptitude with the ability to collaborate effectively with Product, Engineering, Developer Relations teams, and Solutions Architects. Experience creating product launches, sales enablement materials, customer‑facing content, demos, case studies, webinars, and other go‑to‑market assets. Curiosity about AI, machine learning, LLMs, AI agents, and the tools developers use to build, evaluate, and operate AI systems. Strong written and verbal communication skills, with the ability to influence both technical and non‑technical stakeholders. Ability to understand complex AI, machine learning, or developer workflows and translate technical capabilities into clear customer value, compelling narratives, and differentiated positioning. Familiarity with customer research, persona development, customer journeys, use‑case identification, and customer advocacy programs. Academic or business background in AI and machine learning. Hands‑on experience with Python, data science, machine learning workflows, or developer tools. #J-18808-Ljbffr