Global Capacity Manager
- United States
- Mid Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- GPU
- Kubernetes
- Go / Python
- Hyperscaler
- GCP
- AWS
- Azure
- cordons
Preferred
- building automation for uptime
Join Baseten as a Global Capacity Manager, where you will lead the optimization and management of our global GPU fleet. This high-stakes engineering role requires expertise in Kubernetes orchestration and a strong understanding of unit economics. You will collaborate with various teams, respond to capacity crises, and drive initiatives to enhance our capacity management system. Enjoy a remote-first work environment, unlimited PTO, full healthcare coverage, and a learning and development budget.
Responsibilities
- Lead the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building automation for uptime.
- Act as the fleet orchestrator for advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.
- Design and implement the next version of Baseten’s capacity management system to handle a 10x increase in GPU volume.
Requirements
High tenacity and collaborative mindset
- Demonstrated experience with Go or Python in a production-level environment
- 5+ years of professional work experience in a high-growth environment, preferably at a Hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, Or a related field
- Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node Draining, and custom operators
- Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost
Pay
USD 170,000 - 230,000
