About the job
At Crusoe, we are on a mission to enhance the accessibility of energy and intelligence. Our innovative solutions are designed to empower individuals to pursue ambitious projects with AI while maintaining a commitment to scalability, speed, and sustainability.
Join us in revolutionizing the AI landscape through sustainable technology. In this role, you will play a crucial part in driving meaningful change, making a real difference, and being part of a team that leads the way in responsible cloud infrastructure.
About the Role:
We are looking for an enthusiastic and experienced Customer Success Manager with a robust background in customer engagement and a solid understanding of cloud computing, AI, and ML. This position is essential for helping our clients fully leverage our solutions, navigating technical challenges, and equipping them with the necessary tools and knowledge to reach their business and sustainability objectives. This is a full-time opportunity.
Key Responsibilities:
Customer Relationship Management: Build and nurture strong relationships with customers, thoroughly understanding their business needs and technical requirements.
Technical Guidance and Support: Offer expert technical guidance and support to customers in implementing and optimizing our cloud-based AI and ML solutions, including Kubernetes.
Performance Monitoring and Reporting: Regularly assess and report on customer progress, ensuring key performance indicators and return on investment are achieved.
Industry and Technical Awareness: Keep abreast of industry trends, technological advancements, and regulatory changes to provide informed strategic advice to clients.
Customer Training: Conduct training sessions and workshops to educate customers on the advantages and usage of our products and services.
Issue Resolution: Proactively address and resolve customer concerns to ensure high levels of satisfaction and retention.
Your Qualifications:
Educational Background: Bachelor's degree in Business, Engineering, or a related field.
Professional Experience: Demonstrated experience in customer success, technical account management, or a comparable role within a technology-focused environment.
Technical Proficiency: Familiarity with computing platforms, AI, and ML technologies, along with a passion for innovative solutions.

