Staff Product Manager (Data Services)

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

• 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
• If you want to define how data flows across a rapidly scaling AI cloud, and turn that strategy into infrastructure others depend on, this is your team
• As a Staff Product Manager for Data Services, you’ll 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
• You’ll shape a multi-year vision for how our data services underpin AI and GPU workloads, then lead delivery from 0 to 1 and 1 toN. That means working 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
• The hardest problems you’ll tackle are around scale, throughput, and performance for GPU-intensive applications, and you’ll have real influence over the architecture to solve them
• Product strategy and roadmap across the data services portfolio, balancing near-term delivery with long-term bets
• Customer and partner engagement - diving deep into data architectures, co-designing solutions, and supporting large-scale deployments
• Cross-functional alignment with engineering, GTM, and leadership to drive clarity and execution in a fast-moving environment
• Market and competitive analysis to surface opportunities, validate priorities, and keep us ahead of the curve
• API-first platform thinking - partnering with architects on service designs, SLAs, and operational excellence

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 talkLove building platforms that other teams and customers treat as critical infrastructureCan drive clarity in highly technical, ambiguous problem spaces and rally cross-functional teams around a planBalance long-term vision with fast iteration, and you don’t need perfect information to move forwardAre curious about new databases, analytics, and AI data patterns, and are good at separating real value from hypeEnjoy going deep with customers on their data architectures and co-designing solutionsPrior engineering or architecture experience on data or distributed systemsStaff or Director-level PM experience at a database vendor, cloud provider, or high-growth infrastructure companyFamiliarity with SaaS/PaaS packaging and usage-based or tiered pricing modelsHands-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, replicationExperience with AI/ML data products: feature stores, vector search, real-time analytics, or serving pipelines for LLM workloads