Staff Product Manager, Data Services Platform

CoreWeave; Sunnyvale (CA); On-site; USD 188,000 - 275,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) match

Tuition Reimbursement

ESPP

Flexible PTO

Catered lunch

Job summary

CoreWeave is seeking a Staff Product Manager for Data Services to own the end-to-end strategy, roadmap, and execution for databases, data lakes, streaming, metadata, and data sharing. You’ll shape a multi-year vision, work with strategic customers and partners, and lead delivery from 0 to 1 and 1 to N.

This role focuses on scale, throughput, and performance for GPU‑intensive AI workloads, partnering with engineering and GTM.

Qualifications

• 8+ years of product management in data platforms, databases, analytics, or cloud infrastructure.
• Experience with managed data services on AWS/Azure/GCP (e.g., RDS, Aurora, Cosmos DB, BigQuery)
• Ownership of API-first platform products through multiple releases.
• Strong communication and ability to translate technical depth for diverse audiences.

Responsibilities

• Own end-to-end strategy, roadmap, and execution for data services portfolio.
• Lead delivery from 0 to 1 and 1 to N for databases, data lakes, streaming, and metadata.
• Engage with strategic customers and partners; collaborate with engineering, GTM, and leadership.
• Perform market and competitive analysis and drive API-first service designs and SLAs.

Skills

Product management

Data platforms

Cloud infrastructure

Communication

Cross-functional collaboration

Strategic thinking

API-first design

Tools

AWS

Azure

GCP

RDS

Aurora

Cosmos DB

BigQuery

Job description

CoreWeave is seeking a Staff Product Manager for Data Services to own the end-to-end strategy, roadmap, and execution for databases, data lakes, streaming, metadata, and data sharing. You’ll shape a multi-year vision, work with strategic customers and partners, and lead delivery from 0 to 1 and 1 to N.

This role focuses on scale, throughput, and performance for GPU‑intensive AI workloads, partnering with engineering and GTM.