Enterprise Account Executive
Databricks is hiring an Enterprise Account Executive in Sydney, Australia. Level rates it ; you can apply on Databricks.
Level's read on this job
- Little AI ●○○○ is how Level rates this sales role: aI is not part of the work.
- Tools and skills the posting cites include Salesforce, enterprise sales and prospecting.
- Level classifies it as a senior role.
- Level lists 904 other open roles at Databricks.
- The role was posted within the past week.
AI in this role
Enterprise Account Executive at Databricks driving consumption and expansion of data, analytics, and AI platform services with enterprise customers.
SLSQ328R136
Databricks is looking for an Enterprise Account Executive to join us in Sydney, Australia. This role is designed as a Core role. As a Core rep at Databricks, you are pivotal in driving the company's growth by expanding our footprint with existing customers. You will focus on converting prospects into customers and driving the initial consumption of Databricks' services. You will report to the Director of 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 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, ideally with Digital Natives accounts. Demonstrable experience in selling innovation, ideally in Data Platforms, AI/ML, Big Data, or Cloud 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 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.
How we rate this
Enterprise Account Executive at Databricks rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $140k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- Tell me about a project where enterprise sales was part of your work. What did you do?
- Tell me about a project where prospecting was part of your work. What did you do?
- Tell me about a project where account management was part of your work. What did you do?
- Tell me about a project where pipeline management was part of your work. What did you do?
- Walk me through how you've used Salesforce in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Enterprise Sales, Prospecting, Account Management, Pipeline Management, and Salesforce. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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