Product Growth Strategist - AI & Engineering

Weights & Biases Weights & Biases · Data AI · London, United Kingdom +1 · Monolith COR

This role focuses on translating high-level AI ambitions into executable deployment programs for enterprise clients in the physical AI space. The Product Strategist will partner with sales and engineering teams to shape AI opportunities, engage stakeholders to define roadmaps, and convert client conversations into qualified sales opportunities while gathering product feedback.

What you'd actually do

  1. CoreWeave is seeking a Product Strategist to translate executive-level AI ambitions into scoped, executable deployment programs inside large engineering organizations, particularly in the automotive and advanced manufacturing sectors.
  2. In this role, you will partner with Solutions Engineers, Product and Account Executives to shape high-impact AI opportunities and convert them into technically credible starting points for deployment.
  3. You will engage senior engineering and executive stakeholders to translate broad AI ambitions into structured problem statements and phased implementation roadmaps.
  4. Your work will turn early client conversations into qualified opportunities for sales to close, while channeling real-world product feedback that drives our PAI platform forward.

Skills

Required

  • 5-10+ years experience working in product strategy for software where the clients are large enterprises
  • 3+ years experience designing or deploying AI, machine learning, simulation, or data-driven software solutions within enterprise environments
  • Demonstrated ability to translate high-level technical strategy into implementation roadmaps and clearly defined technical scopes
  • Experience assessing technical readiness, data availability, and organizational constraints that impact the success of AI deployments
  • Experience collaborating with cross-functional teams including sales, solutions engineering, field engineering, and product teams
  • Strong understanding of AI/ML workflows, data pipelines, and infrastructure considerations for production deployments
  • Experience engaging with senior technical stakeholders including engineering leadership, simulation/test teams, and data platform teams
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Applied Mathematics, or a related technical discipline
  • Experience identifying repeatable deployment patterns and translating them into product or platform development insights

Nice to have

  • You enjoy connecting complex industry problems with emerging AI and infrastructure capabilities.
  • You are curious about how machine learning and large-scale compute can transform engineering workflows.
  • You enjoy translating complex technical strategy into practical, executable implementation plans.
  • You thrive when working across both technical and commercial teams to shape impactful solutions.

What the JD emphasized

  • designing or deploying AI, machine learning, simulation, or data-driven software solutions within enterprise environments
  • translate high-level technical strategy into implementation roadmaps and clearly defined technical scopes
  • assessing technical readiness, data availability, and organizational constraints that impact the success of AI deployments
  • Strong understanding of AI/ML workflows, data pipelines, and infrastructure considerations for production deployments
  • Experience engaging with senior technical stakeholders including engineering leadership, simulation/test teams, and data platform teams