Enterprise Account Executive

March 19

iGenius

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We transform business data into human superpowers. We’re hiring!

Augmented Analytics • Conversational Analytics • NLQ • Artificial Intelligence

51 - 200

Description

• Build client relationships with enterprise businesses within a specified region • Prospect (via email, phone, & partner ecosystem), develop, and close business within a timely manner while focusing on the clients’ requirements. • Negotiate and close agreements with Clients and support new customers through our on-boarding process. • Collaborate on marketing initiatives, product prioritization, partner enablement and interact daily with executive leadership.

Requirements

• Extensive experience (5+ years) of successfully selling Software/SaaS, Enterprise license agreements across multiple lines of business. Experience focussed on generating new business within Enterprise accounts • Excellent verbal and written communication, presentation, and relationship management skills • Experience presenting complex topics to highly technical audiences as well as C-level stakeholders • Ability to thrive in a fast-paced startup environment • A fluent knowledge of both Italian and English • A strong obsession with identifying new contacts, nurturing and expanding iGenius' relationship with new accounts to maximize revenue • Previous Experience in Business Intelligence, Data Warehousing, or Analytics applications • Industry-specific experience • Experience implementing MEDDPICC • A strong collaborator with experience in working with peers/partners across other business areas to close joint business • Determined to be successful and willing to go the extra mile with a strong work ethic, disciplined and ambitious • An overachiever consistently achieving and/or exceeding sales goals across designed geographic territory and have a track record in closing large, multi-year deals

Benefits

• Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials. • Smart Working. Trains can be a drag, you can save some commuting time by working from home. • Salary is based on experience, and topped up with other bonuses.