Product Analytics Lead, CoreWeave

• 5+ years of experience in product or data analytics roles, or product operations, preferably with a focus on AI, ML, Cloud and SaaS technologies
• Proven experience leading analytics initiatives and partnering with product teams
• Proficient in SQL and data wrangling; comfortable working with large datasets
• Working knowledge of at least one analytical programming language (e.g., Python, R)
• Experience with BI and visualization tools (e.g., Looker, Tableau, Power BI, Mode)
• Understanding of data modeling concepts and event tracking frameworks
• Strong communication and storytelling skills—able to simplify complex data for stakeholders
• Comfortable operating in fast-paced, ambiguous environments with shifting priorities
• A collaborative mindset with the ability to lead cross-functional discussions and initiatives
• Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field, with a strong understanding of machine learning concepts
• Applicants must have work authorization that does not require sponsorship from the company now or in the future

Desirable

• As the Product Analytics Lead, your primary responsibility will be to lead the development of product analytics capability
• Be the go to person for all product analytics for CoreWeave as the founding member of this team
• Collaborate with data engineering, engineering, product finance to help build the right data foundation for CoreWeave product team
• Design, implement, and manage end-to-end analytics solutions to measure product usage, user behavior, and business outcomes
• Translate complex data into actionable insights and strategic recommendations for product growth and user engagement
• Build and maintain dashboards, reports, and self-service tools to democratize access to product data
• Own data stewardship from a product perspective. Ensure data accuracy and integrity by working closely with data engineering teams to define tracking specifications and validate implementation
• Stay current with analytics trends, tools, and methodologies to continuously improve analytical capabilities
• Influence product strategy through a deep understanding of user journeys, cohort analysis, retention, and funnel metrics