Staff Product Manager, Data Services for AI Cloud

CoreWeave; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

CoreWeave is seeking a Staff Product Manager for Data Services to own strategy and execution across databases, data lakes, streaming, and governance. You will drive a multi-year vision, engage with strategic customers and partners, and work with engineering and GTM to deliver scalable, secure data services for AI workloads.

You will shape the roadmap, evaluate new data technologies, and ensure the services meet reliability and adoption targets in a fast-growing cloud environment.

Qualifications

• 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure.
• 3–4 years focused on data services (managed databases, streaming, data warehouses, data lakes, or governance platforms).
• Strong communication skills and ability to translate technical depth for any audience.
• Hands-on experience with managed data services on AWS, Azure, or GCP.

Responsibilities

• Own 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.
• Lead delivery from 0 to 1 and 1 to N, including engagement with strategic customers and partners.
• Collaborate closely with engineering, GTM, and leadership to drive clarity and execution in a fast-moving environment.
• Evaluate emerging data technologies and ensure services are secure, reliable, and easy to adopt.
• Define API-first platform designs and SLAs in partnership with architects.

Skills

Data platforms

Databases

Analytics

Cloud infrastructure

APIs

Cross-functional collaboration

Stakeholder management

Communication skills

Tools

PostgreSQL

MySQL

SingleStore

Snowflake

BigQuery

Job description

CoreWeave is seeking a Staff Product Manager for Data Services to own strategy and execution across databases, data lakes, streaming, and governance. You will drive a multi-year vision, engage with strategic customers and partners, and work with engineering and GTM to deliver scalable, secure data services for AI workloads.

You will shape the roadmap, evaluate new data technologies, and ensure the services meet reliability and adoption targets in a fast-growing cloud environment.