Own the AI Training Infrastructure narrative for CoreWeave. That narrative is built on real credibility: CoreWeave infrastructure has been used to train many of the most widely used models in production today. Your job is to deepen and expand that story, building the strategic positioning framework that ties CoreWeave Kubernetes Service, SUNK, and SUNK Anywhere into a coherent market story, deciding how each product is positioned relative to the others, and ensuring that framework holds across every customer-facing surface
Shape how CoreWeave competes in training-focused sales situations. That means owning the competitive positioning framework field teams use against alternative infrastructure approaches, the persona-specific messaging that translates infrastructure capabilities into outcomes research leaders and platform teams care about, and the launch narrative for new capabilities as they reach the market
Own the customer evidence strategy for AI Training Infrastructure. Decide which proof points matter for which buyers at which stage. Build the feedback loops that surface deployment insight from Solutions Architects and customer-facing engineers. Ensure that evidence reaches assets without losing specificity in translation. The goal is a proof strategy that makes every customer-facing asset more credible, not a library of case studies
Define how CoreWeave's training stack goes to market. Own the enablement framework for Sales and Solutions Architects. Set the competitive positioning strategy the field uses in training-focused deals. Partner with DevRel on content and enablement for technical audiences, including developers, researchers, and community contributors. That boundary requires active coordination and will evolve as both roles do. Partner with CoreWeave's technical and applied ML teams on benchmarking and performance validation that supports how the training stack is positioned and evaluated in market
Define how product marketing's impact is measured for AI Training Infrastructure, not just whether assets were delivered. Own the metrics that matter: deal velocity, contract value, competitive win rates in training-related opportunities, and platform adoption and retention. Use that data to make the case internally for where AI Training Infrastructure messaging is moving deals and where it needs to change
Experience marketing platform or infrastructure products where the buyer is a platform engineer, research lead, or technical architect
Familiarity with schedulers, clusters, or distributed training workloads, Slurm, Kubernetes-native training, or both
Track record across multiple products or a portfolio simultaneously, not a single-product PMM motion
Background in developer tools, HPC, or AI infrastructure. You have marketed highly technical products to audiences who evaluate claims on technical merit, not positioning
Wondering if you're a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location
The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility)
You are not inheriting four separate product stories and stitching them together. You are building the connective narrative across CoreWeave's training stack and the broader ML ecosystem it connects to, including the experiment tracking workflows, open source tooling, and practitioner communities that researchers already operate in. CoreWeave's integration with Weights and Biases connects infrastructure signals to the experiment tracking tools researchers already use. Part of this role is understanding how that integration shapes researcher perception of CoreWeave and building messaging around it. That means translating capabilities across the stack, topology-aware scheduling, bare-metal performance, Kubernetes-native lifecycle management, automated cluster health management, into messaging that resonates with AI research leaders, platform teams, and the wider ML researcher community beyond the largest labs