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Customer Success Manager, Managed Inference

CrusoeSan Francisco, CA - USCloud Go-To-Market (GTM)
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Salary
$175K - $200K USD
Job type
Full-time
Posted
26 Aug 2026
Status
Open · checked 7d ago

About this role

Crusoe is seeking a full-time Customer Success Manager to support AI inference workloads on its cloud platform in San Francisco, California. This position is ideal for an experienced technical professional who wants to guide enterprise clients through complex AI and cloud deployments.

Role Overview

As a Customer Success Manager for Managed Inference, this role sits within the Customer Experience organization at Crusoe. The professional selected will assist clients in navigating operational and technical hurdles when deploying and scaling AI applications, ranging from model serving to GPU utilization. Serving as a crucial bridge between customers and internal technical teams, the role focuses on maximizing the value of the company's AI and machine learning solutions.

Key Responsibilities

Cultivate and sustain robust client relationships to understand their unique business and technical demands during inference workload deployments.
Supply technical guidance to clients implementing and optimizing cloud-based AI and machine learning offerings, covering Kubernetes, containerization, autoscaling, and system observability.
Execute routine reviews to evaluate client progress relative to key performance indicators, tracking metrics like inference consumption, adoption rates, latency, and uptime to identify risks and growth possibilities.
Collaborate closely with Product, Engineering, Solutions, and Customer Success departments to voice client challenges and advocate for platform enhancements.
Host educational training sessions and workshops centered on product utility and service benefits.
Handle and troubleshoot client concerns, guiding users through service incidents and escalations while routing intricate technical problems appropriately.

Requirements

Hold a Bachelor's degree in Engineering, Business, or a related discipline.
Bring a minimum of two years of professional experience supporting infrastructure, developer platform, AI, machine learning, or enterprise cloud clients in a technical account management or customer success capacity.
Possess a solid technical background spanning cloud computing platforms, AI, and machine learning, with the capability to explain complex ideas clearly.
Demonstrate a working familiarity with model serving architectures, inference workloads, Kubernetes, containers, APIs, and GPU infrastructure.
Exhibit superior interpersonal, presentation, and communication talents when interacting with technical client teams like platform, machine learning, and AI engineers.
Thrive within a dynamic, fast-paced setting characterized by iterative or ambiguous information.

Nice to Have

Prior background with retrieval-augmented generation (RAG) architectures, large language models (LLMs), agentic applications, and optimization concepts for inference.
Past experience assisting GPU-based inference environments, model serving platforms, or Managed Inference.
Track record of contributing to customer advocacy initiatives or case studies.

Skills and Tools

Cloud computing platforms and enterprise infrastructure
Kubernetes and containerization
APIs and model serving architectures
GPU infrastructure and inference workloads
RAG architectures and LLMs

Salary and Benefits

Compensation package ranging from $175,000 to $200,000 OTE, determined by knowledge, education, abilities, market alignment, and internal equity.
Restricted Stock Units included with all employment offers.
Comprehensive medical, dental, and vision insurance options including PPO and HDHP plans.
Employer contributions to health savings accounts (HSA).
Paid parental leave and paid life insurance.
Short-term and long-term disability coverage alongside Teladoc services.
401(k) retirement plan featuring a 100% employer match on up to 4% of salary.
Generous paid time off policy and holiday calendar.
Tuition reimbursement, cell phone reimbursement, MetLife Legal, and a Calm app subscription.
Company-paid commuter benefits offering $300 per month.

About the Company

Crusoe operates as a vertically integrated artificial intelligence infrastructure company built from the ground up, controlling every layer of the stack from electrons to tokens. The organization uses an energy-first approach to resolve power bottlenecks, fueling the world's most demanding AI workloads while keeping infrastructure sustainable and efficient.

How to Apply

Interested candidates should submit their application directly through the official Crusoe careers page to be considered for this opportunity.

Skills and tech stack

KubernetesRAG

Questions candidates ask

What is the salary range for the Customer Success Manager role?

The compensation is paid in a range of up to $175,000 to $200,000 OTE, with exact pay determined by education, knowledge, abilities, internal equity, and market data. Restricted Stock Units are also included in all offers.

Where is this job located?

This is a full-time, on-site position based in San Francisco, California.

What experience is required to apply?

Applicants must have a Bachelor's degree in a related field and at least 2 years of experience supporting enterprise cloud, AI, machine learning, infrastructure, or developer platform customers in a technical account management or customer success role.

What technical skills are expected?

Candidates need a solid technical foundation in cloud computing, AI, and machine learning, alongside a working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure.

What benefits does Crusoe offer employees?

Benefits include health insurance options (PPO/HDHP, vision, dental), HSA contributions, 401(k) with a 4% match, paid parental leave, disability insurance, PTO, tuition reimbursement, cell phone reimbursement, a Calm app subscription, and a $300 monthly commuter benefit.

Ready to apply?

The application is on the official Crusoe careers page.

Apply on company site