Staff Product Manager, Data Services

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +5 · Remote · Technology

Staff Product Manager for Data Services at CoreWeave, focusing on the strategy, roadmap, and execution of the data platform powering their AI cloud. The role involves defining how data flows across the platform, managing databases, data lakes, streaming, metadata, and governance, with a focus on scale, throughput, and performance for GPU-intensive AI workloads. This includes customer engagement, cross-functional alignment, and market analysis.

What you'd actually do

  1. 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.
  2. 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.
  3. Work 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.
  4. Tackle problems around scale, throughput, and performance for GPU-intensive applications, and have real influence over the architecture to solve them.
  5. Product strategy and roadmap across the data services portfolio, balancing near-term delivery with long-term bets

Skills

Required

  • 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure
  • at least 3-4 years focused on data services (managed databases, streaming, data warehouses, data lakes, or governance platforms)
  • Technical fluency
  • A track record of owning complex, API-first platform products from concept through multiple release cycles
  • 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

Nice to have

  • 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
  • Love building platforms that other teams and customers treat as critical infrastructure
  • Are curious about new databases, analytics, and AI data patterns, and are good at separating real value from hype
  • Can drive clarity in highly technical, ambiguous problem spaces and rally cross-functional teams around a plan
  • Enjoy going deep with customers on their data architectures and co-designing solutions
  • Balance long-term vision with fast iteration, and you don't need perfect information to move forward

What the JD emphasized

  • own the end-to-end strategy, roadmap, and execution
  • lead delivery from 0 to 1 and 1 toN
  • own: Product strategy and roadmap
  • own: Customer and partner engagement
  • own: Cross-functional alignment
  • own: Market and competitive analysis
  • own: API-first platform thinking
  • 8+ years of product management experience
  • at least 3-4 years focused on data services
  • A track record of owning complex, API-first platform products from concept through multiple release cycles