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Product Strategy Principal

CoreWeave · Sunnyvale, United States

RemoteImported listingfull-timeabout 2 months ago

About The Role

Join CoreWeave, a leader in AI cloud platforms, as a Product Strategy Principal. In this pivotal role, you will develop a multi-year product strategy that aligns with the company's overall objectives. You will conduct in-depth market research, work closely with product and engineering teams, and serve as the voice of the customer within the organization. This position requires proven experience in product strategy, product management, or product operations, with a focus on AI, ML, Cloud, and SaaS technologies.

  • Develop and execute a clear, forward-thinking product strategy and roadmap for CoreWeave's portfolio of products, aligning with both market trends and the company’s overall objectives.
  • Conduct in-depth market research to identify emerging trends, workloads, technologies, and potential opportunities in the AI Hyperscaler domain.
  • Collaborate closely with product and engineering teams to align different products in CoreWeave’s portfolio, ensuring a cohesive strategy.
  • 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 talk
  • 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
  • Excellent analytical and problem-solving abilities, with a track record of making data-informed decisions
  • Strong leadership and communication skills, with the ability to drive product vision and strategy across diverse teams
  • Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field, with a strong understanding of machine learning concepts

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