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Strategic Enterprise Account Executive - Financial Services, Insurance

Databricks

Strategic Enterprise Account Executive - Financial Services, Insurance

Databricks

Sydney, Australia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health benefits

Team trips

Stock options

Generous PTO

Sales training

Healthcare

Equity

Unlimited Pto

Required Skills

LinkedIn Sales Navigator

Salesforce

Zoom

SLSQ127R457

Strategic Enterprise Account Executive

  • Financial Services, Insurance

Databricks is seeking a Strategic Enterprise Account Executive, specialising in the Financial Services Industry and specifically Insurance, to join our team in Sydney, Australia.

This is a critical "Strategic Core" role focused on driving significant company growth. As a Core representative, you will be instrumental in expanding our presence with one of our key, largest existing FSI customers in Australia.

You will report directly 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

  • Ambiguity: Proven ability to navigate complex and ambiguous customers and situations.

  • Experience: Proven track record in sales in the Insurance industry. 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 customer commitment.

  • 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.

  • Impact: Ability to generate blast radius impact from planned activities.

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