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Customer Success Manager, Managed Inference

Crusoe · San Francisco, California

Location
San Francisco, California, USA
Employment
Full time
Level
Mid level
Posted
12 August

About this role

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

We are seeking a motivated Customer Success Manager to support customers running AI inference workloads on Crusoe's cloud platform. Sitting within the Customer Experience organization, this role helps clients navigate the operational and technical challenges of deploying and scaling AI applications - from model serving and GPU utilization to production readiness. You will support customer relationships, act as a bridge to our technical teams, and help clients maximize the value of our AI and ML solutions. This is a full-time position based in the Bay Area, CA.

What You'll Be Working On:

  • Build and maintain strong customer relationships, understanding their business needs and technical requirements as they deploy inference workloads.

  • Provide technical guidance to customers implementing and optimizing our 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, monitoring adoption, inference consumption, latency, and uptime to surface growth opportunities and risks.

  • Coordinate with Product, Engineering, CS, and Solutions teams to surface customer challenges and advocate for customer needs on inference platforms and AI services.

  • Deliver training sessions and workshops to customers on the use and benefits of our products and services.

  • Address and resolve customer concerns, supporting customers during escalations and service incidents and escalating complex issues as needed.

What You'll Bring to the Team:

  • 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 a customer success, technical account management, or similar role.

  • Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms.

  • Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure.

  • Excellent interpersonal, communication, and presentation skills, with the ability to engage technical customer teams including AI, ML, and Platform Engineers.

  • Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets.

Bonus Points:

  • Familiarity with LLMs, RAG 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.

Benefits:

  • Industry competitive pay

  • Restricted Stock Units in a fast growing, well-funded technology company

  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

  • Employer contributions to HSA accounts

  • Paid Parental Leave

  • Paid life insurance, short-term and long-term disability

  • Teladoc

  • 401(k) with a 100% match up to 4% of salary

  • Generous paid time off and holiday schedule

  • Cell phone reimbursement

  • Tuition reimbursement

  • Subscription to the Calm app

  • MetLife Legal

  • Company paid commuter benefit; $300 per month

Compensation Range

Compensation will be paid in the range of up to $175,000 - $200,000 OTE. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

As published by Crusoe. Applications are handled on their site.

Skills this posting mentions

EquityArtificial IntelligenceCloud Services

About Crusoe

Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the “gold standard” for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.

All 340 openings at Crusoe

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Queue Customer Success Manager, Managed Inference and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Crusoe’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

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    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.

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