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.
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).
Skills Required
- 5 to 10+ years of infrastructure experience working within the compute lifecycle to maximize functional compute, ideally in hyperscale, cloud, or large-scale compute environments
- Direct experience managing GPU, server, or data center hardware supplier relationships
- Understanding of fleet health, RMA processes, and the difference between contracted and delivered capacity
- Strong analytical skills, including independently pulling data, building reports, and generating insights
- Ability to work effectively in ambiguous environments and establish needed processes
- Strong cross-functional collaboration skills with finance, infrastructure or engineering, legal, and security teams
- Experience at a hyperscaler, neocloud provider, or AI infrastructure company
- Familiarity with NVIDIA H100, H200, or GB200-class GPU hardware lifecycles, power and thermal constraints, and compute supply chain dynamics
- Experience running formal supplier corrective actions
Baseten Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.
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Fair & Transparent Compensation — Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
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Healthcare Strength — Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
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Leave & Time Off Breadth — Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.
Baseten Insights
What We Do
AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.
Why Work With Us
We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.
