Account Executive (Enterprise)
Siena AISalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, EnergyIndustries
Requirements
Candidates should have 5-10 years of enterprise sales experience, particularly in closing complex sales cycles within the AI/ML or cloud infrastructure space. A deep understanding of AI/ML cloud solutions and experience selling advanced infrastructure products is necessary. Candidates must possess strategic thinking and negotiation skills to handle large contracts and navigate complex sales processes. Experience in relationship management with enterprise clients is essential, along with excellent communication skills to engage and influence senior stakeholders.
Responsibilities
The Enterprise Account Executive will manage the entire sales process from prospecting and qualifying leads to closing high-value deals and maintaining long-term client relationships. They will collaborate with Solutions Engineering, Product, Engineering, and Customer Success teams to deliver customized cloud solutions. The role involves engaging with C-level executives to build and nurture relationships with key decision-makers and targeting key industries such as media, e-commerce, and financial services. The Executive will drive revenue growth through new customer acquisition and account management post-sale.
Skills
Sales
Lead Generation
Closing Deals
Client Relationship Management
Solution Selling
AI/ML Cloud Infrastructure
Enterprise Sales
Strategic Account Management
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