Senior Customer Success Manager
Senior Customer Success Manager responsible for building relationships, providing technical guidance on cloud AI/ML and Kubernetes solutions, driving adoption, and ensuring customer satisfaction and ROI for Crusoe's AI infrastructure offerings. Requires bachelor's in CS/Engineering, technical proficiency in AI/ML/cloud, and proven customer success experience.
About the job
Responsibilities
- Develop and maintain strong, long-lasting customer relationships, understanding their business needs and technical requirements.
- Work on case studies to highlight customer successes.
- Act as the bridge between clients and the technical team, ensuring clear communication and alignment of goals.
- Provide technical guidance and support to customers in the implementation and optimization of cloud-based AI and ML solutions, including Kubernetes.
- Conduct regular reviews and report on customer progress, ensuring achievement of key performance indicators and return on investment.
- Coordinate with product and engineering teams to define customer journeys, challenges, and opportunities.
- Stay up-to-date with industry trends, technical advancements, and regulatory changes to provide strategic advice to clients.
- Deliver training sessions and workshops to customers on the use and benefits of products and services.
- Address and resolve customer concerns, ensuring high levels of customer satisfaction and retention.
Requirements
- Bachelor’s degree in Computer Science, 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.
- Strong technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms.
- Excellent interpersonal, communication, and presentation skills.
- Demonstrated ability to build relationships at all levels within an organization.
- Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets.
Nice-to-Haves
- Advanced degree.
- Experience with Kubernetes solutions.
Compensation and Benefits
- Compensation: $190,000 - $215,000 OTE + Bonus. Restricted Stock Units included in all offers. Determined by education, experience, knowledge, skills, abilities, internal equity, and market data.
- Restricted Stock Units.
- Paid time off & paid holidays.
- 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.
Skills
Customer Success, Technical Account Management, Cloud Computing, AI, Machine Learning, Kubernetes, Customer Relationship Management
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