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FEQ425R192
Location: This is a fully remote position
About the Role:
We are seeking an enablement professional to help support Field Enablement for the Regulated Industries business unit, with a focus on the Field Engineering (FE) team of our joint Sales + Technical go-to-market team. Regulated Industries include Financial Services, Healthcare and Life Sciences, and the Public Sector, along with geographic teams from Canada.
This role will be a critical business partner to the VP of Regulated Industries Field Engineering along with sales and the cross-functional teams that support revenue growth within the BU, responsible for developing and executing Field Engineering enablement programming for the BU.
The ideal candidate will bring expertise in technical acumen and a deep understanding of a consumption-based sales motion with a genuine passion for data & AI technologies, field enablement, and adult learning principles. The role will report directly to the Director of Field Enablement for Regulated Industries.
Additional qualities we look for:
- Possess or be willing to develop a high degree of proficiency in foundational data/AI concepts, including the Lakehouse Architecture.
- Experience supporting and enabling technical audiences in creating proofs-of-concept (POC) and technical solutions, with prior experience in a Pre-Sales capacity as a bonus.
The impact you will have:
- Through a strong grasp of the consumption sales model, you will apply best practices to assess and improve enablement programs to boost Field engineering productivity.
- Partner closely with leadership, Sales Enablement and other stakeholders to discover, validate, prioritize, and scale technical enablement initiatives.
- Drive global Field Engineering enablement strategy through innovative programs, covering analysis, design, development, implementation, and reporting oversight.
- Align programs with BU-strategic priorities to contribute to the global roadmap.
- Collaborate cross-functionally to keep up-to-date with a fast-evolving Databricks Platform, product, messaging, capabilities, and new processes.
- Lead, facilitate, and coordinate enablement sessions, workshops, and other launches in the region for a technical audience.
What we look for:
- 6+ years of relevant experience in technical pre-sales, technical enablement, or data/ai technical-adjacent roles.
- Experience delivering large-scale training and enablement solutions in a Tech or Data/AI company, targeted at a technical audience.
- An understanding of the processes and nuances associated with a technical platform-as-a-service sales and delivery motion.
- Possess or be willing to develop proficiency in foundational Data/AI concepts, the Lakehouse Architecture and Databricks product.
- Experience supporting and enabling technical audiences in creating complex proofs-of-concept and technical solutions to support customer needs.
- Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences
- Prior direct experience in a Pre-Sales role building POCs and technical solutions is a bonus.
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.
Zone 3 Pay Range
$113,300—$200,400 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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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