Staff Product Manager - Container Services

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +3 · Technology

Staff Product Manager for Container Services at CoreWeave, focusing on their Kubernetes Service and other container-based solutions for AI workloads like agents and RL. The role involves driving product strategy, roadmap, and execution, market research, and go-to-market strategies.

What you'd actually do

  1. Lead the product strategy, roadmap, and execution for CoreWeave Kubernetes Service (CKS), as well as the broader portfolio of current and future container services within CoreWeave, including Sandboxes
  2. Partner with engineering, sales, finance, and marketing teams to ensure alignment on goals, product details, effective product launches, and seamless go-to-market execution
  3. Conduct in-depth market research and competitive analysis to identify current state, emerging trends, and opportunities for differentiation
  4. Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies, including positioning, messaging, and competitive differentiation
  5. Define key metrics and establish robust reporting to monitor the performance of compute services, identify areas for improvement, and inform future decisions

Skills

Required

  • 8+ years of professional experience
  • 5+ years in Product Management of cloud services or in the AI/ML market segment
  • Deep understanding of cloud compute workloads and frameworks, specifically Kubernetes and containers
  • Proven ability to lead cross functional teams
  • Strong decision-making skills
  • Project management skills
  • Mentoring skills
  • Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions
  • Excellent verbal and written communication skills
  • Ability to influence cross-functional teams and stakeholders
  • Ability to think strategically
  • Ability to dive into technical details to guide engineering teams
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field

Nice to have

  • Hands on experience with Kubernetes
  • Familiarity with current trends in Kubernetes & Containers
  • Prior experience in a cloud computing context
  • Good grasp of the financial/economic dimensions of operating cloud compute services
  • MBA or equivalent experience

What the JD emphasized

  • 5+ years in Product Management of cloud services or in the AI/ML market segment
  • Deep understanding of cloud compute workloads and frameworks, specifically Kubernetes and containers
  • Proven ability to lead cross functional teams
  • Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions