# Customer Success Manager, Managed Inference

**Company:** [Crusoe](https://hotfix.jobs/companies/crusoe)
**Location:** San Francisco, CA
**Role:** Customer Success
**Salary:** $175k – $200k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, AI, Machine Learning, cloud computing, model serving, autoscaling, Observability, Containers, APIs, gpu infrastructure, LLMs, RAG, agentic applications, inference optimization
**Posted:** 2026-08-11

> Supports enterprise customers deploying and scaling AI inference workloads on a cloud platform, providing technical guidance, customer advocacy, training, and incident support. Requires a bachelor’s degree and 2+ years supporting cloud, AI/ML, developer platform, or infrastructure customers.

## Job Description

## Responsibilities

- Build and maintain strong customer relationships, understanding business needs and technical requirements for deploying inference workloads.
- Provide technical guidance on cloud-based AI and ML solutions, including Kubernetes, model deployment, autoscaling, and observability.
- Conduct regular reviews and report on customer progress against key performance indicators, including adoption, inference consumption, latency, and uptime.
- Surface growth opportunities and customer risks.
- Coordinate with Product, Engineering, Customer Success, and Solutions teams to communicate customer challenges and advocate for customer needs.
- Deliver customer training sessions and workshops on products and services.
- Address and resolve customer concerns, support escalations and service incidents, and escalate complex issues as needed.

## Requirements

- Bachelor's degree in Business, Engineering, or a related field.
- 2+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers in customer success, technical account management, or a similar role.
- Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts clearly.
- Working understanding of inference workloads, model-serving architectures, Kubernetes, containers, APIs, and GPU infrastructure.
- Excellent interpersonal, communication, and presentation skills, including the ability to engage AI, ML, and platform engineering teams.
- Ability to work effectively in a fast-paced environment with ambiguous or iterative requirements.

## Nice-to-Haves

- Familiarity with large language models, retrieval-augmented generation architectures, agentic applications, and inference optimization concepts.
- Experience supporting managed inference, model-serving platforms, or GPU-based inference environments.
- Experience contributing to customer case studies or advocacy programs.

## Compensation and Benefits

- On-target earnings of **$175,000–$200,000**.
- Restricted Stock Units included in all offers.
- Health insurance options, including HDHP and PPO, vision, and dental coverage for employees and dependents.
- Employer HSA contributions.
- Paid parental leave.
- Company-paid life insurance and short- and long-term disability coverage.
- Teladoc.
- 401(k) with a 100% match up to 4% of salary.
- Paid time off and holidays.
- Cell phone reimbursement.
- Tuition reimbursement.
- Calm app subscription.
- MetLife Legal.
- Company-paid commuter benefit of $300 per month.

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**Canonical:** https://hotfix.jobs/jobs/8919a033-256b-42bc-8318-f1b92fcba987