Global Capacity Manager

The role

You will architect, secure, and optimize the global GPU fleet to power customer AI workloads. This role involves managing the end-to-end journey of capacity management and building automation for multi-cloud environments.

What you will do

• Lead specialized GPU pods managing acquisition, air traffic control, and maintenance.
• Execute complex workload migrations and deployment drains.
• Design and implement capacity management systems for scalability.
• Build ROI models for GPU spend using unit economics.
• Partner with SRE, Infra, and FDE teams on operational tasks.
• Lead capacity-crunch response during outages.

Required qualifications

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of professional work experience in a high-growth environment
• Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node draining, and custom operators
• Demonstrated experience with Go or Python in a production-level environment
• Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost
• High tenacity and collaborative mindset

Nice to have

• Experience at a hyperscaler (GCP, AWS, Azure) or a specialized GPU provider

Benefits

• Competitive compensation, including meaningful equity
• 100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only)
• Flexible PTO policy including company wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k) (U.S. only)
• Exposure to a variety of ML startups

About the company

Baseten powers mission-critical inference for AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling. The company recently raised a $1.5B Series F.