About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). About the role We are seeking an experienced, results-driven Enterprise Account Executive to join our dynamic sales team. As an Enterprise Account Executive, you will be responsible for building and maintaining strong relationships with clients, driving sales growth, and promoting our edge computing AI solutions to businesses in the Oil & Gas Sector.Key Responsibilities
Prospect and Generate Leads
Identify and target potential clients.
Conduct market research to understand client needs and preferences.
Sales and Relationship Building
Collaborate with prospects and existing clients to understand their unique challenges.
Promote our edge computing AI solutions and demonstrate how they can address client needs.
Develop and maintain strong client relationships, acting as a trusted advisor.
Sales Presentations and Demonstrations
Deliver compelling product presentations and demonstrations to potential clients.
Demonstrate the business value of our solutions effectively.
Sales Funnel Management
Maintain an organized and up-to-date sales funnel, tracking prospects and opportunities.
Prepare and present sales reports to the sales manager.
Negotiation and Closing
Engage in negotiations and work towards successful deal closures.
Collaborate with the sales team to achieve individual and team sales targets.
Customer Support
Provide excellent customer support to clients, addressing their inquiries and ensuring their satisfaction.
Market Intelligence
Stay updated on industry trends, competitor offerings, and emerging technologies.
Qualifications
Bachelor's degree in Business, or a related field (preferred).
8+ years of proven full lifecycle sales experience, especially in technology or AI-related solutions.
Proven track record of selling technical, complex and innovative products - specifically focused on IT Infrastructure, IoT devices and/or AI applications - in the Oil & Gas Sector
Proven history of consistently achieving/exceeding multi-million dollar quotas as evidenced by awards, promotions, etc.
Strong understanding of edge computing and AI technologies is a plus.
Excellent communication and interpersonal skills.
Self-motivated, goal-oriented, and able to work independently.
Ability to adapt to a fast-paced startup environment.
What We Offer
Competitive salary and commission structure.
Opportunity to work with cutting-edge technology in a rapidly growing field.
Training and professional development opportunities.
Collaborative and innovative work environment.
Competitive perks & benefits.
If you are passionate about AI, edge computing, and driving innovation, we invite you to join our team and be a key player in reshaping the future of technology. Apply now to become a part of our journey towards transforming the business landscape through edge computing AI solutions.We are an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. We make hiring decisions based solely on qualifications, merit, and business needs at the time.