Staff Product Manager, Data Services

CoreWeave is The Essential Cloud for AI™, delivering a platform that enables innovators to build and scale AI with confidence. As a Staff Product Manager for Data Services, you will own the strategy and execution for the data services portfolio, ensuring secure and reliable data solutions that support AI workloads.

Responsibilities:

• Own the end-to-end strategy, roadmap, and execution for CoreWeave's data services portfolio: databases, data lakes, streaming, metadata and catalog, and data sharing and integration
• Shape a multi-year vision for how our data services underpin AI and GPU workloads, then lead delivery from 0 to 1 and 1 to N
• Work directly with strategic customers and partners, collaborating closely with engineering and GTM, evaluating emerging data technologies, and ensuring our services are secure, reliable, and easy to adopt
• Balance near-term delivery with long-term bets in product strategy and roadmap across the data services portfolio
• Dive deep into data architectures, co-design solutions, and support large-scale deployments with customers and partners
• Drive clarity and execution in a fast-moving environment through cross-functional alignment with engineering, GTM, and leadership
• Surface opportunities, validate priorities, and keep us ahead of the curve through market and competitive analysis
• Partner with architects on service designs, SLAs, and operational excellence with an API-first platform thinking

Requirements:

• 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure, with at least 3-4 years focused on data services (managed databases, streaming, data warehouses, data lakes, or governance platforms)
• Technical fluency in: Relational and/or distributed databases (e.g., PostgreSQL, MySQL, SingleStore, Snowflake, BigQuery)
• Technical fluency in: Streaming and pipelines (e.g., Kafka, CDC, ETL/ELT, lakehouse architectures, real-time data sharing)
• Technical fluency in: Data security and governance (encryption, IAM/RBAC, data masking, network isolation, compliance)
• A track record of owning complex, API-first platform products from concept through multiple release cycles
• Strong communication skills - able to create clarity from ambiguity, influence without authority, and translate technical depth for any audience
• Comfort operating in a fast-paced, high-growth environment where the answer isn't always obvious
• Staff or Director-level PM experience at a database vendor, cloud provider, or high-growth infrastructure company
• Hands-on experience with managed data services on AWS, Azure, or GCP (e.g., RDS, Aurora, Cosmos DB, BigQuery)
• Background in hybrid or multi-cloud architectures: connectivity, data locality, replication
• Experience with AI/ML data products: feature stores, vector search, real-time analytics, or serving pipelines for LLM workloads
• Familiarity with SaaS/PaaS packaging and usage-based or tiered pricing models
• Prior engineering or architecture experience on data or distributed systems