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 RangeCompensation 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.
