Job Summary: As a Software Sales Executive in Al Squared Sales vertical, you are an enterprise sales professional experienced in selling to Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems.
 
What You’ll Do:
  • Present a strategic sells plan to exceed annual quote within first 90 days
  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quick, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and applying appropriate resources
  • Build a plan for success internally at AI Squared  and externally with your accounts.

 

Qualifications
  • You have previously worked in an early stage company and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, and SaaS sales
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
  • Success closing new accounts while working existing accounts
  • Understanding of Machine Learning/AI and big data preferable
  • Bachelor's Degree
Accelerating the path of Machine Learning capabilities into the hands of the end user is a massive bottleneck preventing ML's full value being realized. As data scientists ourselves, we're frustrated by the time and resources involved in integrating ML into browser-based workflows. Our model integration framework solves this problem by eliminating the need for a bespoke model endpoint – just drag and drop a model file into our integration framework and visualize your model's inferences instantly!
 

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