Business Development Strategic Initiatives
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/20/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will translate the needs of advanced AI labs into product roadmap and capacity-planning priorities. You will lead large-scale compute and managed inference deals, integrate customer technical requirements with Product and Engineering, coordinate infrastructure and energy planning, drive go-to-market strategies for cloud offerings, negotiate with executives, and mitigate supply-chain and power-allocation risks.
Requirements
- Experience structuring and closing cloud consumption deals exceeding $100M in Total Contract Value
- Knowledge of AI workloads and distributed computing frameworks
- Knowledge of Slurm and Kubernetes
- Knowledge of RDMA, InfiniBand, or RoCE
- Knowledge of storage architectures
- At least 5+ years of experience in Product Management, Business Development, or Strategic Partnerships in technology
- Leadership experience at a major hyperscaler, AI startup, or cloud infrastructure provider
- Knowledge of AI infrastructure and cloud computing
- Bachelor's degree
Responsibilities
- Lead and close large-scale compute and managed inference deals
- Translate customer technical requirements into product directives
- Coordinate customer architecture impacts with infrastructure and energy teams
- Drive go-to-market strategies for new offerings
- Equip Sales and Marketing to commercialize offerings
- Negotiate with internal and external C-level executives
- Identify supply-chain and power-allocation bottlenecks
- Develop risk-mitigation strategies
Benefits
- Pension contributions
- Additional perks supporting work-life balance
- Competitive benefits package
