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Databricks

Emerging Enterprise Hunter Account Executive

Reposted 2 Days Ago
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In-Office
Melbourne, Victoria
Junior
In-Office
Melbourne, Victoria
Junior
The Emerging Enterprise Account Executive will sell Databricks solutions in Australia, focusing on prospecting, engaging decision-makers, and exceeding sales targets.
The summary above was generated by AI

SLSQ326R613

As we continue to increase our presence in the world of Unified Data Analytics and AI, we're looking for a creative, driven, and execution-oriented Emerging Enterprise Account Executive to sell to the Australian market and maximize the huge market opportunity that exists for Databricks today.

As an Emerging Enterprise Account Executive reporting to the Sales Manager, you will have experience selling in the Australian market. You are a hunter with superb prospecting skills and passion for acquiring new logos. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers. 

The impact you will have:

  • Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries
  • Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team
  • Engage with business and technical decision-makers and lead them through the evaluation and buying process
  • Exceed individual activity, pipeline and annual revenue targets
  • Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)
  • Drive customer success and upsell existing customers
  • Create a Territory Strategy focused on Australia across all industries

What we look for:

  • 1-2 years of closing experience selling SaaS solutions to Commercial, Enterprise and/or Digital Native Customers in Australia
  • Proven success in Emerging Enterprise or Commercial Sales roles, ideally in Big Data, Cloud, or SaaS technology
  • Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology
  • Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
  • Ability to simply articulate intricate cloud & big data technologies and their business value for the customer

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Top Skills

Big Data
Cloud
SaaS

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