SPARETECH

SPARETECH

Enterprise Account Executive

Chicago, Illinois, United States · Exec

Sponsorship not specified$75k-$150kDetected 46 days ago
SalesAccount ManagementPipeline ManagementExcelProcurementPublic Speaking

About the role

  • Hybrid Work Environment: We believe in the value of in-person collaboration.
  • As one of the first team members in this dynamic market, you'll play a crucial role in establishing our success.
  • Immerse yourself in a work environment where innovation and efficiency guide our ambitions.

Responsibilities

  • To achieve this, we have built, and continue to build, an AI-powered MRO software that connects all players in the spare parts ecosystem, from manufacturers and suppliers to the people working behind the machines.
  • By facilitating the exchange of data, knowledge, and expertise, we create shared visibility that empowers smarter decisions, reduces waste, and drives seamless collaboration.
  • Backed by Insight Partners, SPARETECH is accelerating its growth with a strong focus on product innovation and team excellence.
  • A self-driven person who sets challenging goals, and then is determined to reach those goals and deliver results.
  • Strong organization skills and structure, with the ability to manage multiple priorities in a dynamic, high-growth sales environment.
  • Be part of a team where your ideas matter and where you'll help build the foundations, processes, and culture that support our continued growth in North America.

Compensation

  • An annual training budget of $1,000 to support your growth in a dynamic, startup environment.

Benefits

  • 20 days of vacation, plus public holidays.
  • Healthcare benefits to help support you and your family.
  • Embrace an Entrepreneurial Spirit: Collaborate directly with our CEO to spearhead our expansion in North America.

Company info

  • Participate in our VSOP program and contribute directly to the growth and success of a fast-scaling company.

This listing is sourced directly from SPARETECH's careers page and normalized into a canonical job model.