Staff Product Manager, Data Services

About the role

The Data Services Team builds and operates the data platform that powers CoreWeave's AI cloud, from transactional and analytical storage to streaming, metadata, and governance. We give our customers and CoreWeave engineers the primitives they need to ingest, store, process, and serve data at the scale and performance that next-generation AI workloads demand.

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.
• Evaluate emerging data technologies and ensure our services are secure, reliable, and easy to adopt.
• 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.

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), 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).
• 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.

Qualifications

• 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.

Skills

• API-first platform thinking - partnering with architects on service designs, SLAs, and operational excellence.

Benefits

• The base salary range for this role is $188,000 to $275,000. 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).

Pay

The base salary range for this role is $188,000 to $275,000. 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.

Schedule

Not specified.