Aquaria

Aquaria

Account Executive - High-Ticket Inbound Sales

Austin, Texas, United States

Sponsorship not specified$70k-$150kDetected 64 days ago
HubSpotSalesforceCRMSalesAccount ManagementCold OutreachPipeline ManagementMedical DevicesCommunication

About the role

  • About the Opportunity Are you a proven sales professional who excels at closing high-value deals?
  • Aquaria Technologies is revolutionizing the way people access clean drinking water with our cutting-edge atmospheric water generation systems.
  • If you're a closer with strong communication skills, a self-starter mentality, and experience selling high-ticket solutions, we want to talk to you.

Responsibilities

  • Engage Inbound Leads: No cold calling-our marketing team generates qualified leads for you.
  • CRM & Follow-Up: Maintain a sales pipeline, nurture relationships, and close deals using modern sales tools.
  • Drive Revenue: Earn commission based on your success-your potential is unlimited.
  • Tech-Savvy & Organized - Comfortable using CRM systems (Salesforce, HubSpot, etc.) to track leads and close deals.

Requirements

  • In-Person Sales Expertise.
  • Ability to meet clients at their homes or our show site to demonstrate our product.

Compensation

  • $70,000 - $150,000+ OTE (
  • $60,000 + Commission)

Benefits

  • Consultative Selling: Educate prospects on the benefits of atmospheric water generation and help them make an informed decision.
  • Who We're Looking For: Top-Tier Sales Professionals from industries like water treatment, home improvement sales (solar, HVAC, pools, roofing), real estate, medical device sales, or luxury auto sales.

Company info

  • Travel to customer homes, conduct live demonstrations at our show site, and present tailored solutions.
  • Meet Customers In Person: Travel to customer homes, conduct live demonstrations at our show site, and present tailored solutions.
  • Apply now and be part of the future of clean water solutions!

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