Vice President, Product Management, Managed AINew$345K–$385K

The opportunity

Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.

What you'll do

  • Define the long-term vision, strategy and roadmap for the Managed AI Services: portfolio, aligned to customer needs, company goals, market trends and GTM strategy

  • Build, lead and mentor a team of product managers, owning their performance and development

  • Partner with engineering, technical program management, product partnerships,: marketing, customer success and sales to define requirements, prioritize features and drive the lifecycle from concept through launch and adoption at scale

  • Own the business metrics for the portfolio, including usage, reliability and: production KPIs, pipeline, revenue, gross margin and customer satisfaction, and use that data to drive decisions

  • Shape go-to-market with sales, marketing and customer success, including: positioning, messaging, pricing, routes-to-market and partnerships

  • Build relationships with key customers, ecosystem partners and GTM partners,: translating their feedback into product improvements and working alongside the Director of Product Partnerships on partnership and M&A opportunities

What they're looking for

  • Track the Managed AI competitive landscape and emerging technologies to: inform strategy and surface new opportunities
  • Proactively identify and resolve technical and commercial risks,: infrastructure bottlenecks and scaling challenges, and manage product budgets and resources against business goals
  • Proven product management track record with AI/ML services, including: experience building AI managed services and scaling them from scratch
  • First-hand experience with AI managed services such as inference, tuning,: reinforcement learning and agent sandboxes, along with the observability and evaluation practices that support them