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
Deliver technical demos and stand up PoC environments for customers: evaluating Crusoe Cloud, with clearly defined success criteria and timely execution
Support technical discovery alongside Account Executives, including mapping: stakeholders, gathering requirements, and handling technical objections
Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based: stacks, optimizing for performance and cost
Help customers adapt workloads from AWS, GCP, or Azure to Crusoe: infrastructure, explaining tradeoffs along the way
Document product gaps and bugs from the field with the detail Engineering: needs to reproduce them, and channel structured customer feedback to Product
Ensure clean post-sale handoffs by building transition docs and instance: summaries so customer success teams start from a stable Day 1
What they're looking for
- + years of hands-on experience building, deploying, or operating cloud: infrastructure, with exposure to AI/ML, HPC, or GPU workloads
- Hands-on proficiency with at least one major cloud provider (AWS, GCP, or: Azure), deploying and managing infrastructure rather than just consuming it
- Experience deploying containerized workloads with Kubernetes or Docker
- Strong Linux command-line skills and scripting ability in Python or Bash
