Enterprise Account Executive

Posted Yesterday
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Sydney, New South Wales, AUS
In-Office
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Own new-logo acquisition for large Australian enterprises, prospecting and engaging decision-makers, driving complex, consumption-based Databricks deals from discovery through close, managing pipeline in Salesforce, leading proofs-of-concept, and coordinating cross-functional teams to ensure customer success and strategic value realization.
Summary Generated by Built In

SLSQ427R341

Databricks is looking for an Enterprise Account Executive to join our team in Sydney, Australia. Our mission is to help Australia’s largest, most forward-thinking enterprises harness the full potential of Data and AI.

In this role, you will be the face of that mission for major organizations that have not yet begun their journey with Databricks. You will act as a partner and trusted advisor, guiding these leaders as they navigate the complexities of their data landscape. By blending a deep understanding of their unique business challenges with technical insight, you will help them integrate and launch their most ambitious AI initiatives. Partnering closely with our GTM, Product, and Field Engineering teams, you will ensure our customers don't just adopt our platform, but build their future on it.

The Impact You Will Have:

  • Building the Future of Our Customer Base: You will be responsible for bringing the most significant, untapped enterprises in Australia into the Databricks ecosystem. The relationships you build today with these new customers will lay the foundation for them to become our largest and most successful partners in the years to come.
  • Driving Strategic Value: You will focus on identifying the pivotal use cases that move the needle for our customers, helping them derive tangible value from the platform, and accelerating them beyond their initial projects.
  • Securing Long-Term Partnerships: You will structure and close strategic agreements that allow us to co-invest in high-priority initiatives, effectively de-risking their projects and ensuring they have the support needed to innovate at scale.

Key Responsibilities:

  • Strategic Prospecting: You will take a thoughtful approach to identifying and engaging the largest, non-Databricks enterprises in the region. Using intent signals, territory planning, and compelling customer narratives, you will cut through the noise to build meaningful relationships.
  • Deep Customer Engagement: Collaborating with our BDR and Marketing teams, you will reach decision-makers to help them envision a different, more effective way to manage their data and AI assets.
  • Sales Execution: You will lead the conversation from the first meeting to the close, creating urgency around the need for change. You will manage your territory with precision, using roundtables, executive briefings, and industry events to build genuine connections and move opportunities forward.
  • Disciplined Pipeline Management: You will own your business, maintaining an accurate pipeline in Salesforce, leading proof-of-concepts, and shepherding complex deals through the entire lifecycle.
  • Cross-Functional Orchestration: You will act as the quarterback for your accounts, engaging architects, professional services experts, and executive sponsors to ensure every customer has the resources they need to succeed from day one.

What We Look For:

  • Characteristics: You are inherently proactive, resilient, and persistent. You bring a sense of urgency to your work, are comfortable navigating ambiguity, and are always looking for creative ways to solve problems.
  • Experience: You have a proven history of success in sales, specifically in acquiring new logos and breaking into new territories. You are comfortable selling innovation—ideally in Big Data, Cloud, or SaaS—and understand the nuances of a consumption-based business model.
  • Skills: You are a master of prospecting and customer engagement. You know how to build a business case that sticks and have a track record of securing and growing significant first-time commitments.
  • Collaboration: You thrive in a team environment, working effectively with cross-functional partners, BDRs, and Customer Success teams to deliver a unified experience.
  • Technical Acumen: You have a strong grasp of the Databricks platform and, more importantly, the ability to communicate its value in a way that resonates with business leaders, not just technical teams.

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 click here.

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.

Skills Required

  • Proven history of success acquiring new logos and breaking into new territories
  • Experience selling Big Data, Cloud, or SaaS solutions (preferably consumption-based business models)
  • Mastery of prospecting and engaging enterprise decision-makers; strong business-case development
  • Experience managing complex enterprise deals end-to-end and leading proofs-of-concept
  • Disciplined pipeline management and accurate use of Salesforce
  • Ability to collaborate cross-functionally with GTM, Product, Field Engineering, and Customer Success
  • Strong technical acumen with the Databricks platform and ability to communicate value to business leaders

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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