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Director, Enterprise Sales - Healthcare

Databricks

Director, Enterprise Sales - Healthcare

Databricks

Northeast - United States; Remote - New York

·

Remote

·

Full-time

·

1w ago

Compensation

$373,800 - $514,050

Required Skills

Sales leadership

Team management

Enterprise sales

Value selling

MEDDPICC

Challenger sales

Command of Message

Partner ecosystem development

SLSQ227R281

We are looking for a Sales Director to join our growing Enterprise Healthcare business. You will lead an existing team of Enterprise Account Executives covering large Provider accounts, and you will be measured by achieving your team’s overall quota and growing Databricks usage. This is a team of Enterprise Account Executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President of Healthcare.

The impact you will have:

  • Lead, grow and inspire the Enterprise Account Executives to help them overachieve on their goals and objectives.

  • Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.

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

  • Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.

  • Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

What we look for:

  • You live the Databricks’ core values and instill them in the team you are leading.

  • You will have 5+ years of successfully building and leading high-growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.

  • History of exceeding quota and thriving in hyper-growth Enterprise technology companies.

  • Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.

  • Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.

  • Strong Telecommunications industry experience is preferred

  • With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range**$373,800—$514,050 USD**

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