Senior Customer Success Manager at Crusoe

San Francisco, California, United States

Crusoe Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Cloud Infrastructure, TechnologyIndustries

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
  • Strong background in customer engagement
  • Deep technical understanding of cloud computing, AI, and ML

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 solutions
  • Conduct regular reviews and report on customer progress, ensuring the achievement of key performance indicators and return on investment
  • Coordinate with the 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

Skills

Customer Success
Customer Relationship Management
Cloud Computing
AI
ML
Kubernetes

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters
2018Year Founded
$1,082.2MTotal Funding
SERIES_DCompany Stage
Energy, AI & Machine LearningIndustries
201-500Employees

Benefits

Industry competitive pay
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Paid life insurance, short-term and long-term disability
Parental leave
Stock options in a fast-growing, well-funded technology company
Pet-friendly offices
Teladoc
401(k) with a 4% match
Unlimited time off
Cell phone reimbursement
Tuition reimbursement
Company paid commuter benefit; $100 per month
Calm

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.
Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.
Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.
The company offers scalable solutions for AI and high-performance computing needs.
Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.
Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.
AI-driven energy optimization can significantly reduce operational costs in data centers.

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