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Named Hunter Account Executive (Digital Natives)

Databricks

Named Hunter Account Executive (Digital Natives)

Databricks

Paris, France

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team trips

Base salary plus commission

Uncapped earning potential

Generous PTO

Stock options

President's Club

Unlimited Pto

Equity

Required Skills

Salesforce

HubSpot

Outreach

SLSQ426R296

Do you want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.

Reporting to the Director of Emerging Enterprise Sales, you are passionate about selling to high-growth, venture-backed digital native companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will focus on hunting net new accounts by always looking for new opportunities. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.

The impact you will have:

  • Assess your accounts and develop a strategy to identify and engage all buying centers

  • Use a solution-based approach to selling and creating value for new logo accounts

  • Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle

  • Identify and close quick wins while managing longer, complex sales cycles

  • Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce

  • Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact

  • Orchestrate and work with teams to maximise the impact on your ecosystem

  • Build value with all engagements to promote successful negotiations to close point

  • Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform

What we look for:

  • 5+ years of Enterprise/Digital Native/ Mid Cap Sales experience exceeding quotas, covering relevant accounts and industries

  • Strong closing experience and evidence of exceeding sales quota

  • Sales experience within Cloud software, open source technology, or ideally Data and AI space

  • Methods for co-developing business cases and gaining support from C-level Executives

  • Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling)

  • Simply articulate intricate cloud technologies

  • Bachelor's Degree or equivalent experience preferred

  • Fluent French and business English is required

Benefits

  • Medical Insurance

  • Equity awards

  • Paid parental leave

  • Gym reimbursement

  • Annual personal development fund

  • Business travel insurance

  • Mental wellness resources

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