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Global Capacity Manager

Baseten

Company websitebaseten.co (Baseten, opens in new tab)

Base salary $170K  to $230K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE
As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments.


This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.


To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes
orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture.

EXAMPLE INITIATIVES

  • The B200 Frontier: Architecting the infrastructure readiness and deployment strategy
    for Baseten's first Blackwell GPU clusters.
    Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems
    to move customer workloads seamlessly across regions to optimize cost and latency.

  • Precision GPU Triage: Developing automated Go-based operators to identify, cordon,
    and repair unhealthy H100 nodes in under an hour.

  • The Supply Chain of Intelligence: Partnering with leadership to secure and reserve
    dedicated capacity for Baseten’s largest enterprise customers.

RESPONSIBILITIES

  • Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200),
    managing the full lifecycle of acquisition, air traffic control, and maintenance for those
    assets.

  • Advanced Orchestration: Execute complex workload migrations and "sticky"
    deployment drains, ensuring deployment scheduling rules meet strict regional and
    compliance requirements.

  • Build for Scalability: Design and implement the "next version" of Baseten’s capacity
    management system to handle a 10x increase in GPU volume.
    Financial Modeling: Leverage your understanding of unit economics to build ROI
    models for GPU spend, ensuring Baseten scales profitably.

  • Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete
    operational tasks off their plate and verify "last mile" follow-through on infrastructure
    changes.

  • Incident Response: Lead capacity-crunch response by rapidly untainting and re-
    coordinating workloads during high-pressure outages.

REQUIREMENTS

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

  • 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

BENEFITS

  • Competitive compensation, including meaningful equity

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Source: Baseten on Ashby · View original posting (opens in new tab)

This range next to 6 other live Baseten roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Baseten roles with the nearest advertised base floor
RolePublished base
Global Capacity Manager (this listing)$170K - $230K
Social Media Manager$170K - $210K
Corporate Accounting Manager$170K - $210K
Product Marketing Manager, Dedicated Inference$170K - $220K
Product Marketing Manager, Training$170K - $220K
Solutions Architect$165K - $330K
Software Engineer - Training Product$165K - $330K

Same $100K to $400K scale as every card. All Baseten roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-08
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 170,000 – 230,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.