Posted:
10/11/2024, 5:30:08 AM
Location(s):
Kansas City, Kansas, United States ⋅ Kansas, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Sales & Account Management
Workplace Type:
Hybrid
Pay:
$115/hr or $239,200 total comp
FEQ425R193
Americas Emerging Business
Location: This is a fully remote position.
Office Policy: Fully remote with expectation for travel once or twice per quarter to relevant business gatherings (QBR, Kickoff, Offsite, in-person training, etc.)
About the Role:
We are seeking an Enablement professional to help support Field Enablement for the Americas Emerging (AEB) Business Unit (BU), with a heightened focus on the Field Engineering (FE) component of this joint Sales + FE go-to-market (GTM) team. AEB includes Startups, Digital Natives, Emerging Enterprise.
The enabler will be a critical business partner to the VP of AEB FE along with sales and the cross functional teams that support revenue growth within the BU. The enabler will also be responsible for co-developing and executing the AEB FE enablement strategy for FE personnel (individual contributors and leaders alike). The FE enablement strategy will align back to the broader company-wide GTM priorities.
The ideal candidate will bring expertise in technical field enablement and adult learning principles. Alongside that pedigree, a deep understanding of a consumption-based sales motion and a genuine passion for Data & AI technologies are preferred.
Additional qualities we look for:
The role will report directly to the AEB Enablement leader.
Key Responsibilities:
The Role’s Impact:
What we look for:
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