Product Strategy Principal

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +4 · Remote · Technology

This role focuses on developing a portfolio-level product strategy for an AI cloud platform company. The Product Strategy Principal will conduct market research, translate insights into strategy and roadmap, and collaborate with product and engineering teams to align different product areas. The role requires a strong understanding of the AI/ML landscape and customer needs to ensure the company remains at the forefront of the AI Hyperscaler market.

What you'd actually do

  1. lead the development of a compelling multi-year product strategy to support the overall strategic goals of CoreWeave
  2. develop deep insight about the customer needs and the market and translate these insights into a compelling product strategy and roadmap, ensuring CoreWeave remains at the forefront of the AI Hyperscaler market
  3. guide the portfolio strategy to align different product areas to a common strategy, maintaining a balance between cutting-edge technology, user-friendliness, and market viability
  4. Conduct in-depth market research to identify emerging trends, workloads, technologies, and potential opportunities in the AI Hyperscaler domain
  5. Serve as the voice of the customer within the organization, integrating customer feedback and requirements into product development to ensure maximum satisfaction and usability

Skills

Required

  • product strategy
  • product management
  • product operations
  • AI
  • ML
  • Cloud
  • SaaS technologies
  • market research
  • customer needs analysis
  • product roadmap development
  • cross-functional collaboration
  • analytical skills
  • problem-solving
  • data-informed decision making
  • leadership
  • communication

Nice to have

  • machine learning concepts

What the JD emphasized

  • Proven experience (7+ years) in product strategy, product management management or product operations, preferably with a focus on AI, ML, Cloud and SaaS technologies
  • Good understanding of the AI and ML technology landscape, including current trends and potential future directions
  • strong understanding of machine learning concepts