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Account Executive (Hunter)

Databricks

Account Executive (Hunter)

Databricks

Melbourne, Australia

·

On-site

·

Full-time

·

4d ago

SLSQ227R75

Databricks is looking for a Senior Geo Hunter Executive to join us in Melbourne, Australia. This role is designed as a Hunter role with a focus on Energy and Utilities. As a Hunter at Databricks, you are pivotal in driving the company's growth by acquiring new customers and expanding into new territories. You will focus on converting prospects into customers and driving the initial consumption of Databricks' services. You will report to the Director, Enterprise.

The Impact You Will Have:

  • Activating New Databricks Customers: Get customers to their first dollar, or Databricks Unit as we like to call it, and accelerate Pay-as-you-go customers past their initial use-cases.

  • 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 project delivery

Key Responsibilities:

  • Prospecting and Lead Generation: Use a range of strategies and resources, including intent signals, territory planning, and customer stories, to effectively identify and target leads.

  • Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in the 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.

  • Resiliency

  • Unwavering Prioritisation and Grit.

  • Detail-oriented.

  • Creative

  • Coachability

  • Open to Change and uncertainty

  • Experience: Proven track record in sales, particularly in acquiring new customers and expanding into new territories. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world.

  • Industry Experience: This role has a focus on Energy and Utilities, which will be preferred

  • 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, 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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge