Enterprise Account Executive (Mid-Atlantic) (Remote)
AuditBoardFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must have 3-10 years of experience in Enterprise Account management and sales, with a proven track record of closing deals of $150k or more and consistently hitting quarterly and yearly goals. Experience selling CRM SaaS is a plus. Strong communication, interpersonal, and negotiation skills are essential, along with the ability to build relationships and influence C-suite executives. A passion for technology and problem-solving, combined with a positive attitude and willingness to learn, is required.
The Enterprise Account Executive will qualify new sales opportunities for enterprises, educate customers on Aisera's value proposition, and manage multiple customer accounts throughout the buying cycle. Responsibilities include prospecting cold leads, researching accounts, demonstrating the AI Service Management solution, aligning value to customer pain points, and closing sales with a $1M quota. The role also involves maintaining and expanding the assigned prospect list.
Develops AI chatbots for IT operations
Aisera develops chatbots and process-centric AI solutions specifically for IT operations. Their chatbots are designed to engage in human-like conversations, allowing clients to access self-service options that help reduce costs associated with service desks. Aisera primarily serves organizations that seek customizable virtual agents to modernize their IT operations and minimize unplanned outages. Their products can be quickly deployed, giving them an advantage in the fast-growing AI and machine learning market. Aisera's revenue comes from selling these AI solutions, which not only help businesses cut costs by deflecting support tickets and reducing wait times but also improve customer experience through personalized interactions. Additionally, Aisera allows clients to create their own bot experiences, enabling them to operationalize their generative AI applications or deploy chatbots trained on their specific data in a matter of weeks.