Staff Product Manager (Data Services)

Join CoreWeave, a rapidly growing AI cloud provider, as a Staff Product Manager for Data Services. In this role, you will own the strategy, roadmap, and execution for CoreWeave's data services portfolio, including databases, data lakes, streaming, metadata and catalog, and data sharing and integration. You will work closely with strategic customers and partners, collaborate with engineering and GTM teams, and evaluate emerging data technologies. This position requires 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure, with a strong technical fluency in relational and/or distributed databases.

• Ownership of the end-to-end strategy, roadmap, and execution for CoreWeave's data services portfolio, including databases, data lakes, streaming, metadata and catalog, and data sharing and integration.
• Engagement with customers and partners to dive deep into data architectures, co-design solutions, and support large-scale deployments.
• Cross-functional alignment with engineering, go-to-market, and leadership teams to drive clarity and execution in a fast-moving environment.

• Streaming and pipelines (e.g., Kafka, CDC, ETL/ELT, lakehouse architectures, real-time data sharing)
• Data security and governance (encryption, IAM/RBAC, data masking, network isolation, compliance)
• 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)
• Strong communication skills - able to create clarity from ambiguity, influence without authority, and translate technical depth for any audience
• Technical fluency in:
• Comfort operating in a fast-paced, high-growth environment where the answer isn't always obvious
• Relational and/or distributed databases (e.g., PostgreSQL, MySQL, SingleStore, Snowflake, BigQuery)
• A track record of owning complex, API-first platform products from concept through multiple release cycles
• 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. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
• Love building platforms that other teams and customers treat as critical infrastructure
• Can drive clarity in highly technical, ambiguous problem spaces and rally cross-functional teams around a plan
• Balance long-term vision with fast iteration, and you don't need perfect information to move forward
• Are curious about new databases, analytics, and AI data patterns, and are good at separating real value from hype
• Enjoy going deep with customers on their data architectures and co-designing solutions
• Prior engineering or architecture experience on data or distributed systems
• Staff or Director-level PM experience at a database vendor, cloud provider, or high-growth infrastructure company
• Familiarity with SaaS/PaaS packaging and usage-based or tiered pricing models
• 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