Customer Success Manager, Managed Inference

Crusoe
San Francisco
Workplace: OnsiteFull timeUSD 175,000 - 200,000 annuallyFunction: Customer Success & Account ManagementExperience: 2+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Interpersonal skills","Problem-solving","Opportunity-finding","Sense of urgency","Customer advocacy","Ability to work with ambiguous information"]

Support customers running AI inference workloads on the Crusoe cloud platform by building strong customer relationships and guiding them through deployment and scaling. Provide technical assistance across model serving, Kubernetes, autoscaling, and observability, and track progress via KPIs for adoption, latency, and uptime. Coordinate with Product, Engineering, CS, and Solutions teams to surface needs and resolve escalations, and deliver customer training workshops.

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FursaFursa
Crusoe
Crusoe
4 days ago

Customer Success Manager, Managed Inference

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Support customers running AI inference workloads on the Crusoe cloud platform by building strong customer relationships and guiding them through deployment and scaling. Provide technical assistance across model serving, Kubernetes, autoscaling, and observability, and track progress via KPIs for adoption, latency, and uptime. Coordinate with Product, Engineering, CS, and Solutions teams to surface needs and resolve escalations, and deliver customer training workshops.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Customer Success & Account Management
Seniority: Manager level

Key Responsibilities

  • •Build and maintain strong customer relationships to understand business needs and technical requirements as customers deploy inference workloads.
  • •Provide technical guidance for implementing and optimizing cloud-based AI/ML solutions including Kubernetes, model deployment, autoscaling, and observability.
  • •Conduct regular customer reviews and report progress against KPIs such as adoption, inference consumption, latency, and uptime.
  • •Coordinate with Product, Engineering, CS, and Solutions teams to surface customer challenges and advocate for customer needs on inference platforms and AI services.
  • •Support customers during escalations and service incidents, resolving concerns and escalating complex issues as needed.

Pay and Benefits

Salary: USD 175,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kHsaPaid ParentalPaid Leave

Key Requirements

  • •Bachelor's degree in Business, Engineering, or a related field.
  • •2+ years of experience supporting enterprise cloud, AI/ML, developer platform, or infrastructure customers in customer success, technical account management, or similar roles.
  • •Solid technical foundation in cloud computing platforms, AI, and ML, with the ability to explain complex concepts clearly.
  • •Working understanding of inference workloads, model serving, Kubernetes, containers, APIs, and GPU infrastructure.
  • •Excellent interpersonal, communication, and presentation skills to engage technical AI/ML/platform teams.
Experience:2+ yearsEnterprise cloudAIMachine learningDeveloper platformInfrastructureKubernetesGPULLMsRAG
Education:Bachelor's
Skills:CommunicationPresentationInterpersonal skillsProblem-solvingOpportunity-findingSense of urgencyCustomer advocacyAbility to work with ambiguous information
Tech Stack:Cloud computingAIMachine learningKubernetesModel deploymentAutoscalingObservabilityContainersAPIsGPU infrastructureLLMsRAGAgentic applicationsInference optimization

Company Brief

Crusoe
Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.
Industry: Data Centers
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: Denver, United States
Founded: 2018
Glassdoor
Glassdoor: 3.7
WebsiteLinkedInGlassdoor