SLSQ427R337
Databricks is looking for a Named Enterprise Account Executive to join us in Sydney, Australia. As a Core rep at Databricks, you are pivotal in driving the company's growth by expanding our footprint with existing customers. In this role, you will focus on two of our largest Enterprise customers in Australia. Prior experience in a Strategic and Consultative Sales role with a track record for creating Enterprise customer value and helping solve real business problems with data and AI will be key.
You will report to the Director of NSW Enterprise Sales.
The Impact You Will Have:
- Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.
- Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery
- Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target new business units and stakeholders.
- Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create strategic account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline.
- Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal.
- Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success.
- Executive Engagement: Create a compelling Exec engagement plan, leveraging your prior experience to lead and execute successful C-level strategic discussions and innovative business outcomes.
What We Look For:
- Characteristics:
- Takes initiative, is proactive and drives
- Unwavering Prioritisation & Grit
- Detail-oriented
- Creative
- Coachability
- Open to Change and uncertainty
- Experience: Proven track record in sales, ideally with experience selling to strategic enterprise customers. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world.
- Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure first-time commits.
- Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams.
- Technical Acumen: 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 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 track record in Strategic and Consultative Enterprise Sales
- Experience creating enterprise customer value using data and AI
- Experience selling Big Data, Cloud, or SaaS technologies
- Strong prospecting, lead generation, and customer engagement skills
- Experience driving consumption and securing first-time committed deals
- Experience using Salesforce for pipeline management
- Ability to create and run proof of concepts (POCs) and manage full sales cycle
- Proven ability to engage and influence C-level executives
- Ability to collaborate effectively with architects, professional services, and customer success teams
- Understanding of Databricks platform and ability to communicate its value
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.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
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.
