Principal Product Manager, Infrastructure Consumption & Monetization

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.  

CoreWeave powers the creation and delivery of the intelligence that drives innovation. 

What You’ll Do

We are looking for a Principal Product Manager for Infrastructure Consumption & Monetization to lead the strategic direction and execution of our monetization efforts. This pivotal role will focus on defining consumption models, optimizing infrastructure utilization, and developing pricing strategies that drive the success of CoreWeave's core GPU infrastructure.

The ideal candidate is passionate about AI and cloud technologies, with a deep understanding of cloud infrastructure economics, AI workload ecosystem, cloud-native technologies, and the competitive landscape. You will leverage market insights and technical expertise to define the product vision, roadmap, and go-to-market strategy, ensuring that CoreWeave builds on its market-segment position as the leading AI Hyperscaler.

Key Responsibilities

• Monetization Strategy: Define and evolve CoreWeave's overall monetization strategy, identifying new opportunities and optimizing existing approaches to maximize revenue and profitability across our GPU infrastructure services.
• Consumption Model Design: Lead the design and implementation of innovative consumption models that align with customer needs, encourage adoption, and drive efficient utilization of CoreWeave's resources.
• Infrastructure Utilization Optimization: Work closely with engineering and operations teams to understand infrastructure costs and utilization patterns, informing pricing and packaging to optimize resource allocation and profitability.
• Pricing Strategy & Execution: Develop and implement pricing strategies for CoreWeave's GPU infrastructure, considering market trends, competitive landscape, customer segmentation, and product value.
• Product & Program Development: Design and launch new products and programs specifically aimed at improving monetization, including new service tiers, discount structures, or value-added offerings.
• Cross-functional Collaboration: Partner with engineering, sales, finance, and marketing teams to ensure alignment on monetization goals, effective product launches, and seamless go-to-market execution.
• Market Analysis: Conduct in-depth market research and competitive analysis to identify monetization best practices, emerging trends, and opportunities for differentiation.
• Go-to-Market Strategy: Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies for consumption models, including positioning, messaging, and competitive differentiation.
• Performance Monitoring: Define key metrics and establish robust reporting to monitor the performance of monetization strategies, identify areas for improvement, and inform future decisions.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Minimum Qualifications

• Experience: 8+ years of professional experience, with at least 5 years in Product Management of cloud services or AI/ML market segment.
• Technical Knowledge: Deep understanding of AI/ML workloads including foundation model training and inference, cloud infrastructure (GPUs), and cloud-native architectures (Kubernetes, microservices).
• Leadership: Proven ability to lead cross functional teams , with strong decision-making, project management, and mentoring skills.
• Customer-Centric Approach: Demonstrated experience working closely with customer