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JobsDatabricks

Director, Enterprise

Databricks

Director, Enterprise

Databricks

Stockholm, Sweden

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team trips

Base salary plus commission

Generous PTO

Uncapped earning potential

Unlimited Pto

Required Skills

LinkedIn Sales Navigator

Salesforce

Zoom

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

We are looking for an Enterprise Sales Director to join our growing business in the Nordics Leading a team of Enterprise Account Executives, you will be measured by achieving your team's overall quota and growing Databricks consumption. This is a team of account executives who are passionate about building a data ecosystem in the Nordic Region, technically knowledgeable and have a strong desire to drive value for our customers.

This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the EMEA sales organisation. We are looking for owners, who will go the extra mile and want to be the very best at what they do.

The position will report to the RVP, Enterprise for the Nordics.

The impact you will have:

  • Lead a team of account executives, ensuring you coach them to develop the skills and behaviours they will need to succeed

  • Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements

  • Report on revenue forecast and strategic GTM programs

  • Partner with cross-functional teams to manage a complete revenue and customer success process

  • Inspire a culture of teamwork, leading with value and achieving desired customers outcomes

  • Develop trust-based relationships with customers and partners to ensure long-term success

  • Encourage learning and ongoing understanding of technical product details and our future product roadmap

  • Establish a revenue growth and investment plan in the first 90 days

  • Deliver our strategic growth plans, in collaboration with the other function leaders across EMEA, ensure forecast accuracy and a predictable, high-growth business

What we look for:

  • Experience as a high-growth enterprise software sales leader with experience leading sales teams in the Nordics within the Data, AI, Cloud, or Saa

S Sales Industry:

  • History of exceeding sales quotas in similar high-growth technology companies

  • Ability to engage with and hire sales talent in the market

  • Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality

  • Experience of value-based sales with both the business and IT stakeholders including C suite

  • Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales

  • Extended Executive relationship network with key customers

  • Knowledge of the partner ecosystem to help grow Enterprise strategic territories

  • Success implementing strategies for consumption and commitment-based sales revenue models

  • Business travel is also required outside Sweden

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

Mid/L4 · Enterprise Account Executive

1 reports

$147,084

total / year

Base

$127,899

Stock

-

Bonus

-

$147,084

$147,084

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