5+ years of B2B sales experience with a proven track record in new logo environments
Familiarity with AI/ML workloads and infrastructure products
Strong qualification and negotiation skills for quick deal closures
Experience in nurturing long-term customer relationships
Excellent communication skills for engaging technical and non-technical audiences
Structured sales approach with a focus on value-based qualification
Responsibilities
Manage the full sales cycle from prospecting to closing deals
Collaborate with cross-functional teams to deliver tailored cloud solutions
Build relationships with founders and technical leaders in AI-native companies
Target AI startups and scale-ups to leverage Crusoe's cloud capacity
Generate new opportunities through outbound prospecting and partnerships
Achieve sales quotas and grow accounts post-sale for customer success
Benefits
Competitive compensation and equity packages
Restricted Stock Units
Paid time off, holidays, and leave of absence programs
Comprehensive health, dental, and vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance and disability coverage
Professional development and tuition reimbursement
Mental health and wellness support
Commuter benefits
Cell phone stipend
401(k) retirement plan with company match
Volunteer time off
Global travel insurance and emergency assistance
Daily meals allowance
Location-specific perks and programs
Full Job Description
About the Role:
Crusoe.ai is seeking a dynamic Account Executive to lead our efforts in acquiring emerging AI-native companies in the AI/ML cloud infrastructure market. This role will focus on driving Crusoe's growth by engaging with fast-growing AI startups and scale-ups that need access to high-performance, sustainable cloud capacity and move quickly on decisions. You will be part of an innovative and rapidly growing company, working with cutting-edge technology that is transforming cloud computing by leveraging stranded energy resources to power AI workloads.
As an Account Executive - Emerging AI, you will play a pivotal role in scaling Crusoe's business, running a high-velocity new logo motion, and building long-term relationships with fast-growing customers. You will own a new logo quota and work a pipeline where deals typically move from first call to close in weeks, with initial commitments in the seven figures and expansion into eight figures as customers scale. Your contributions will directly support Crusoe's mission to drive both growth and sustainability, making a significant impact in the AI cloud space.
This role will be onsite 5 days a week at our San Francisco office.
What You'll Be Working On:
Full Sales Cycle Ownership: Manage the entire sales process, from prospecting and qualifying leads to closing deals at pace and maintaining long-term client relationships.
Collaborate Across Teams: Work closely with Solutions Engineering, Product, Engineering, and Customer Success teams to deliver customized, high-performance cloud solutions.
Engage with Founders and Technical Leaders: Build and nurture relationships with founders, CTOs, and heads of infrastructure and ML at AI-native companies, positioning Crusoe as the preferred partner for their AI cloud infrastructure needs.
Target Key Segments: Focus on AI-native startups and scale-ups, including model developers and AI application builders, leveraging Crusoe's capacity availability, performance, and speed to deploy to meet customer needs.
Build Pipeline: Generate new opportunities through outbound prospecting, the AI startup and venture ecosystem, and partner relationships.
Drive Revenue Growth: Achieve sales quotas through new customer acquisition, and manage and grow accounts post-sale as customers scale their compute needs, ensuring continued customer success and satisfaction.
What You'll Bring to the Team:
5+ Years of B2B Sales Experience: Proven track record of consistent quota attainment in new logo, velocity environments, including six- to seven-figure deals, ideally selling cloud, infrastructure, data, security, or developer-focused products. Familiarity with hyperscalers like AWS, Azure, or Google Cloud is a plus.
Understanding of AI/ML Workloads: Working knowledge of how AI teams train, run, and buy compute for models, with the ability to understand client needs and provide tailored solutions. Experience selling infrastructure products that support AI workloads is a plus.
Qualification & Negotiation Skills: Ability to qualify tightly, negotiate efficiently (including capacity commitments and multi-year terms), and move deals from first conversation to close quickly.
Relationship Management: Experience nurturing long-term relationships with customers, focusing on driving growth through account expansion.
Excellent Communication Skills: Ability to engage and influence founders and technical leaders, effectively communicate technical concepts to non-technical audiences, and collaborate cross-functionally.
Structured Sales Approach: A disciplined, value-based approach to qualification and pipeline management.
Bonus Points
Experience selling GPU or AI compute
Training in MEDDPICC, Command of the Message, or Force Management
Existing relationships in the AI startup and venture ecosystem
Benefits:
Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
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
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location
Compensation Range
Compensation will be paid in the range of up to $230,000 - $270,000 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.
