Crusoe

2 weeks ago

Senior 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: 2 hours agoStatus: Live

Job Summary

Own customer success for AI-native teams running production inference workloads. Build long-lasting relationships and act as a technical liaison between clients and Crusoe, guiding deployments to improve performance, reliability, latency, scalability, and cost. Drive monitoring and reporting against KPIs/ROI, coordinate customer journeys with product and engineering, and deliver training and workshops. Stay current on inference platforms, LLMs, agentic workflows, and GPU infrastructure trends.

Location: Denver

Workplace: Onsite

Employment Type: Full time

Job Function: Customer Success & Account Management

Seniority: Mid level

Key Responsibilities

•Develop and maintain strong customer relationships, understanding business needs and technical requirements.
•Own strategic relationships with AI-native customers deploying production inference workloads to meet performance, reliability, latency, scalability, and cost objectives.
•Provide technical guidance and support for implementation and optimization of cloud-based AI/ML solutions, including Kubernetes solutions.
•Partner with customers on model deployment strategies and inference optimization (GPU utilization, autoscaling, throughput management, observability, and production readiness).
•Monitor adoption and inference consumption, review latency/uptime/capacity metrics, report progress against KPIs/ROI, and resolve escalations and incidents.

Pay and Benefits

Salary: USD 190,000 - 215,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeavePaid ParentalLife InsuranceDisabilityVolunteer TimeCell PhoneHsa ContributionsMeal Allowance

Key Requirements

•Bachelor’s degree in Business, Engineering, or related field; advanced degree preferred.
•Proven experience in customer success or technical account management in a technology-driven environment.
•3+ years supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers.
•Strong understanding of inference workloads and model serving architectures, including Kubernetes, containers, APIs, and GPU infrastructure.
•Familiarity with LLMs, RAG architectures, agentic applications, and inference optimization concepts (highly desirable).

Experience:3+ yearsAICloudMachine learningDeveloper platformInfrastructure

Education:Bachelor's in Business, Engineering (or related field)

Skills:Interpersonal communicationPresentationRelationship buildingTechnical communicationAdaptability

Tech Stack:KubernetesContainersAPIsGPU infrastructureLLMsRAGAutoscalingObservabilityModel serving architecturesInference 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: 3.7

Website LinkedIn Glassdoor

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Crusoe

2 weeks ago

Senior 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: 2 hours agoStatus: Live

Job Summary

Location: Denver

Workplace: Onsite

Employment Type: Full time

Job Function: Customer Success & Account Management

Seniority: Mid level

Key Responsibilities

•Develop and maintain strong customer relationships, understanding business needs and technical requirements.
•Own strategic relationships with AI-native customers deploying production inference workloads to meet performance, reliability, latency, scalability, and cost objectives.
•Provide technical guidance and support for implementation and optimization of cloud-based AI/ML solutions, including Kubernetes solutions.
•Partner with customers on model deployment strategies and inference optimization (GPU utilization, autoscaling, throughput management, observability, and production readiness).
•Monitor adoption and inference consumption, review latency/uptime/capacity metrics, report progress against KPIs/ROI, and resolve escalations and incidents.

Pay and Benefits

Salary: USD 190,000 - 215,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeavePaid ParentalLife InsuranceDisabilityVolunteer TimeCell PhoneHsa ContributionsMeal Allowance

Key Requirements

•Bachelor’s degree in Business, Engineering, or related field; advanced degree preferred.
•Proven experience in customer success or technical account management in a technology-driven environment.
•3+ years supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers.
•Strong understanding of inference workloads and model serving architectures, including Kubernetes, containers, APIs, and GPU infrastructure.
•Familiarity with LLMs, RAG architectures, agentic applications, and inference optimization concepts (highly desirable).

Experience:3+ yearsAICloudMachine learningDeveloper platformInfrastructure

Education:Bachelor's in Business, Engineering (or related field)

Skills:Interpersonal communicationPresentationRelationship buildingTechnical communicationAdaptability

Tech Stack:KubernetesContainersAPIsGPU infrastructureLLMsRAGAutoscalingObservabilityModel serving architecturesInference optimization

Company Brief

Crusoe

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: 3.7

Website LinkedIn Glassdoor