Posted:
11/20/2024, 10:32:45 AM
Location(s):
Alaska, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Sales & Account Management
Pay:
$124/hr or $257,920 total comp
Databricks is seeking a dynamic and experienced Head of Global Industry Enablement to lead our efforts in developing and implementing industry-specific enablement strategies across our major verticals. This role will be responsible for owning the strategy and creation of content for Financial Services, Retail, Manufacturing, Healthcare and Life Sciences, Public Sector, and Media and Entertainment sectors, among others.
As the Head of Global Industry Enablement, you will play a crucial role in empowering our sales teams with the knowledge, tools, and resources needed to effectively engage with customers across diverse industries. You will work closely with cross-functional teams to develop comprehensive enablement programs that align with Databricks' overall business objectives and drive revenue growth in key verticals.
The impact you will have:
What we look for:
The ideal candidate will be a strategic thinker with a passion for technology and its applications across industries. They will have the ability to translate complex technical concepts into compelling business value propositions for each vertical. This role requires a self-starter who can thrive in a fast-paced, dynamic environment and drive results through influence and collaboration
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.
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.
Website: https://databricks.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series I
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning