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Senior Customer Success Manager, Managed Inference

Crusoe· Cloud Go-To-Market (GTM)
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San Francisco, CA - US, New York, NY - US$190k - $215kFull-timePosted 3mo ago

About the role

Senior Customer Success Manager with a technical background in cloud computing, AI, and ML, focused on supporting customers running production AI inference workloads, including managed inference, model serving platforms, LLM deployments, AI agents, or GPU-based inference environments.

Responsibilities

  • Customer Relationship Management: Develop and maintain strong, long-lasting customer relationships, understanding their business needs and technical requirements.
  • Own strategic relationships with AI-native customers deploying production inference workloads, helping them achieve performance, reliability, latency, scalability, and cost optimization objectives.
  • Customer Advocacy: Work on case studies to highlight customer successes.
  • Technical Liaison: Act as the bridge between our clients and our technical team, ensuring clear communication and alignment of goals.
  • Technical Guidance and Support: Provide technical guidance and support to customers in the implementation and optimization of our cloud-based AI and ML solutions including Kubernetes solutions.
  • Partner with customers on model deployment strategies, inference optimization, GPU utilization, autoscaling, throughput management, observability, and production readiness best practices.
  • Performance Monitoring and Reporting: Conduct regular reviews and report on customer progress, ensuring the achievement of key performance indicators and return on investment.
  • Monitor customer adoption, inference consumption trends, latency metrics, uptime, capacity utilization, and business outcomes to identify growth opportunities and potential risks.
  • Customer Journey Coordination: Coordinate with the product and engineering teams to define customer journeys, challenges, and opportunities.
  • Partner closely with Product, Engineering, CS, and Solutions teams to advocate for customer needs and influence roadmap priorities related to inference platforms and AI services.
  • Industry and Technical Awareness: Stay up-to-date with industry trends, technical advancements, and regulatory changes to provide strategic advice to clients.
  • Maintain a strong understanding of emerging AI technologies, LLMs, model serving architectures, agentic workflows, inference optimization techniques, and GPU infrastructure trends.
  • Customer Training: Deliver training sessions and workshops to customers on the use and benefits of our products and services.
  • Issue Resolution: Address and resolve customer concerns, ensuring high levels of customer satisfaction and retention.
  • Act as a trusted advisor during customer escalations, service incidents, and critical production events, helping customers navigate complex technical and business challenges.

Qualifications

  • Bachelor’s degree in Business, Engineering, or a related field. Advanced degree preferred.
  • Proven experience in customer success, technical account management, or a similar role in a technology-driven environment.
  • 3+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers.
  • Experience managing strategic accounts running production AI workloads is strongly preferred.
  • Strong technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms.
  • Strong understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, GPU infrastructure, and AI application deployment patterns.
  • Familiarity with LLMs, RAG architectures, agentic applications, model performance metrics, and inference optimization concepts is highly desirable.
  • Excellent interpersonal, communication, and presentation skills.
  • Demonstrated ability to build relationships at all levels within an organization.
  • Ability to engage effectively with both executive stakeholders and deeply technical customer teams, including AI Engineers, ML Engineers, Platform Engineers, and Infrastructure leaders.
  • Adaptability to a fast-paced environment with ambiguous and/or iterative fact-sets.

Skills

Required:Customer Relationship ManagementStrategic Account ManagementCloud computingKubernetes & containersGPU infrastructure

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location
Last updated Aug 19, 2026. Interested? Apply on the company site.

About Crusoe

The AI factory company | Renewable-powered AI infrastructure

Crusoe provides next-gen AI infrastructure and cloud compute using an energy-first approach. Deploy AI workloads at scale with reliable performance and 24/7 support.

AI infrastructureData centersEdge computingGPU computingRenewable energycloud computeenergy-first approachsetter-30
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