Capacity Operations Manager

Baseten

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation with equity
Medical, dental, and vision insurance
Flexible PTO including Winter Break
Paid parental leave
Fertility and family-building stipend
401(k)
Learning and networking opportunities

Job summary

Baseten, a San Francisco AI infrastructure company, is hiring a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. You’ll focus on fleet lifecycle, health, observability, utilization monitoring, and remediation across neocloud and bare metal environments.

This operator role drives execution through clear processes, metrics, reporting, and vendor coordination. You’ll work with finance, engineering, legal, and security to maximize available GPUs and

Qualifications

  • 5 to 10+ years within infrastructure focusing on compute lifecycle.

Responsibilities

  • Drive GPUs online and healthy across suppliers.
  • Maintain live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity by supplier and cluster.
  • Supplier-attributed fleet health accountability: own replacement SLAs, MTTR, and RMA cycles.
  • Track SLA performance, file and pursue credits, and drive remediation plans when suppliers fall short.
  • Coordinate internal communications on maintenance activities to keep Baseten stakeholders informed.

Skills

Infra lifecycle
GPU management
Supplier relations
Data analysis
Cross-functional collab
Problem solving

Job description

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

We’re looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments.

We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment.

This is an operator role, not people management. You’ll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment.

RESPONSIBILITIES

Core Responsibilities:

  • Drive suppliers to keep the maximum amount of the GPU fleet online and healthy.

  • Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs.

  • Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier.

  • SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short.

  • Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability.

Scope and Approach
  • Flexibility: this list covers the core of the role, not the limit of it. You’ll be asked to take on adjacent work as the function evolves and as new gaps surface.

  • Ownership mindset: we need someone who treats “whatever it takes” as a genuine operating principle, not a line in a job posting. If something falls outside a defined lane but inside the overall goal of closing the capacity gap, it’s yours to pick up.

REQUIREMENTS
  • 5 to 10+ years within infrastructure working within the compute lifecycle to maximize functional compute, ideally in a hyperscale, cloud, or large-scale compute environment.

  • Direct experience managing GPU, server, or data center hardware supplier relationships. You understand fleet health, RMA processes, and how contracted capacity differs from delivered capacity.

  • Highly analytical. You should be comfortable pulling your own data, building your own reports, and generating insights without waiting on someone else to hand you a dashboard.

  • Comfortable with ambiguity. Part of the job is figuring out what should exist and building it.

  • Strong cross-functional collaboration skills. You’ll work closely with finance, infrastructure/engineering, legal, and security on a regular basis.

PREFERRED QUALIFICATIONS:
  • Experience at a hyperscaler, neo cloud provider, or AI infrastructure company

  • Familiarity with GPU hardware lifecycles (NVIDIA H100/H200/GB200 class systems), power/thermal constraints, and supply chain dynamics for compute.

  • Experience running formal supplier corrective actions.

BENEFITS
  • Competitive compensation, including meaningful equity

  • 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

  • Company-facilitated 401(k)

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

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).

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