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Tableau SMB Account Execuitve

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Onsite

Tableau SMB Account Execuitve

Informatica

Tableau SMB Account Execuitve

Skills

TableauData AnalysisBusiness Development

2 months ago

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Important information


Contract type:

Permanent

Location:

Sydney NSW, Australia

Work mode:

Onsite

Published on:

24 August 2026

What they need


Day to Day

Our SMB Account Executives engage with existing customers and new leads to sell the entire Tableau platform. They build positive, trusted relationships with both key team members and decision makers within their patch, and become naturals at helping customers realize value from their Salesforce investments.

You will use your new business development skills to develop opportunities, through both warm leads and whitespace prospecting.

  • Close opportunities at assigned existing accounts and drive sales at new accounts
  • Drive sales within assigned segment (lower Commercial segments)
  • Acquire new logos within assigned territory
  • Speak to business offerings as they relate to the customer’s needs and engage other resources as required
  • Manage high volume of accounts and sales

Required Experience

  • 3+ years of technical sales experience.
  • We have an open mind in SMB and we’re not just looking for Account Executives who have experience in SaaS. If you have been in a quota carrying sales role looking after end-to-end sales processes, then we want to talk to you!
  • Experience managing and closing complex sales-cycles in the technology sales industry
  • We don’t need you to have used Salesforce before, but it would have an advantage. A genuine passion for technology, disruption and innovation is also ideal.
  • Education: Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Preferred Experience

  • Experience selling in the software industry or technical sales experience (ex: Saas)
  • Experience with analytics, data, databases, predictive modeling, or business intelligence preferred.

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