Posted:
9/5/2024, 5:51:48 AM
Location(s):
New York, United States ⋅ New York, New York, United States
Experience Level(s):
Senior
Field(s):
Product
Workplace Type:
Remote
Pay:
$244/hr or $507,520 total comp
FEQ325R107
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
About the Role:
The Field Enablement team is committed to ensuring our Go-To-Market organization has the processes, skills, and technical expertise necessary to effectively engage with customers and partners throughout their journey. We are looking for a candidate with a strong background in technical field enablement, a deep understanding of adult learning principles, and knowledgeable and hands on with Data and AI technologies.
In this role, you will own and implement large-scale technical enablement programs, working cross-functionally to boost the productivity of our Field Engineering teams. We're seeking someone passionate about enablement, eager to coach and collaborate with Technical SMEs and the Field Engineering community, with strong technical expertise in our platform, especially in Consumption Motion and Data and AI. A learner-focused mindset is essential for designing and delivering innovative, tailored programs for the field.
Given the technical nature of this position, having a strong technical background is essential. You will frequently collaborate with technical Subject Matter Experts (SMEs) to ensure our programs are grounded in real-world technical requirements and reflect the most current product updates and capabilities. Your ability to speak the language of technical professionals and understand complex technical concepts will be key to building effective training modules.
Your strategic mindset and program management skills will be crucial in driving performance and fostering a culture of continuous learning and development within our organization.
This role reports to a Sr. Manager in the Technical Enablement organization within Field Engineering.
The Impact You Will Have:
What We Look For:
Benefits:
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.
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