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Databricks

Named Enterprise Account Executive

Posted 10 Days Ago
Be an Early Applicant
Melbourne, Victoria
Senior level
Melbourne, Victoria
Senior level
Drive growth in existing enterprise accounts, develop sales strategies, build relationships with decision-makers, and identify new business opportunities.
The summary above was generated by AI

SLSQ226R785

Databricks is looking for a Named Enterprise Account Executive to join us in Melbourne, Australia. This role is designed as a Core role, driving growth in existing customers (Utilities sector). Reporting to the Director of Enterprise Sales, you will focus on developing established relationships and closing new business opportunities within existing, enterprise-class clients while driving consumption of Databricks' services. You will come with an informed point of view on Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to these important clients.

The Impact You Will Have:

  • Assess your key accounts and develop a strategy to meet and exceed revenue and consumption goals
  • Implement the above strategy to meet and exceed revenue and consumption targets
  • Build positive relationships with key decision makers (up to and including C-level) and establish yourself as a trusted advisor for Data & AI-related subjects
  • Identify new business opportunities and develop the expansion / consumption use cases within your key accounts
  • Orchestrate and utilise internal teams to maximise the impact on your ecosystem
  • Showcase exceptional value with all engagements to guide successful negotiations to close point 

What We Look For:

  • Characteristics: 
    • Takes initiative, is proactive, and drives.
    • Unwavering Prioritisation & Grit.
    • Detail-oriented.
    • Creative
    • Coachability
    • Open to Change and uncertainty
  • Successful track record of meeting and exceeding sales quotas and KPIs
  • Experience selling to large enterprise-class customers in Australia
  • Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
  • Understanding of consumption-based land and expanding sales models
  • Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams.
  • Understanding of Databricks' platform and the ability to communicate its value to customers.

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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