Enterprise SaaS AE, Data & AI Platform - Singapore

WinsAbove

Singapore

Sur place

SGD 120 000 - 160 000

Plein temps

Il y a 2 jours
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Résumé du poste

Databricks Singapore is seeking an Account Executive to join our Enterprise Sales team. You will identify, engage, and cultivate strategic accounts, articulating the value of our cloud data platform to C‑level executives and driving large, complex SaaS deals.

In this role, you will map use cases, coordinate with product and engineering teams, and structure negotiations to close opportunities. The ideal candidate has 5+ years of SaaS sales experience and a proven track record of over‑performing

Qualifications

  • Bachelor's degree and 5+ years selling SaaS solutions.
  • Enterprise SaaS sales experience in data/cloud.
  • Proven track record of exceeding sales targets.

Responsabilités

  • Assess accounts and develop a strategy to identify and engage stakeholders.
  • Use a solution-based approach to create customer value.
  • Identify the most valuable use cases to maximize Databricks' impact.
  • Coordinate with cross‑functional teams to maximize ecosystem impact.
  • Build value across engagements to promote successful negotiations and close deals.
  • Promote Databricks' cloud data platform powered by Apache Spark.
  • Demonstrate technical and business results using the Databricks Platform.

Connaissances

Sales in Big Data/Cloud/SaaS
C-level engagement
Articulating cloud technologies & big‑
New account penetration
Sales target achievement

Formation

Bachelor's degree

Description du poste

Databricks Singapore is seeking an Account Executive to join our Enterprise Sales team. You will identify, engage, and cultivate strategic accounts, articulating the value of our cloud data platform to C‑level executives and driving large, complex SaaS deals.

In this role, you will map use cases, coordinate with product and engineering teams, and structure negotiations to close opportunities. The ideal candidate has 5+ years of SaaS sales experience and a proven track record of over‑performing

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