Synced from Greenhouse · Sep 25

Enterprise Account Executive

DatabricksSydney, AustraliaPosted Sep 25, 2026
Enterprise Account ExecutiveMid
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Sep 25
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Greenhouse
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Job descriptionReq 8842408002

SLSQ427R685

Databricks is looking for an Enterprise Account Executive (Energy & Utilities) to join us in Sydney, Australia. This role is designed as a Named Core role and reports to the Director of Enterprise Sales.

As a Named Core Account Executive, you are pivotal in driving the company's growth by expanding our footprint and driving the consumption of Databricks' services with existing customers. You will drive business transformation for some of the region's most prominent enterprise organisations in the Energy & Utilities sector. You will be operating in an industry undergoing immense transition—driven by grid modernisation, renewable integration, decarbonisation, and smart metering—and will help connect customers' strategic priorities to the power of the Databricks Data Intelligence Platform.

The Impact You Will Have:

In this role, you will lead complex, multi-stakeholder sales cycles from discovery through execution and consumption growth. Operating as the "quarterback" of your account teams, you will orchestrate internal resources, hyperscaler partners (AWS, Azure, GCP), and system integrators to deliver high-impact business outcomes.

  • 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 leads.
  • Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies.
  • Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and 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.

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. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world. Experience selling to Energy & Utilities accounts is highly desirable.
  • 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Enterprise Account Executive
Databricks · Sydney, Australia
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