Job description
FEQ425R193
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 Enterprise and Emerging (AEEB) Business Unit (BU), with a heightened focus on the Field Engineering (FE) component of this joint Sales + FE go-to-market (GTM) team. AEEB includes Startups, Digital Natives (DNB), Emerging Enterprise (EE), Latin Americas (LATAM), Communications, Media, Entertainment, & Gaming (CMEG), and Retail, Consumer, Travel (RCT).
The enabler will be a critical business partner to the VP of AEEB 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 AEEB 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:
- 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 role will report directly to the AEEB Enablement leader.
Key Responsibilities:
- Co-develop a comprehensive FE enablement strategy in partnership with A) the AEEB FE and Sales leadership teams, B) cross-functional leaders, and C) the cross-functional teams aligned to America’s Enterprise and Emerging Business.
- Ensure FE teams are proficient in product knowledge (e.g.: Data Warehouse, GenAI, Unity Catalog, etc.), technical product enablement, industry positioning, and business value.
- Work cross-functionally with Sales, Marketing, Partner, Sales Ops, and GTM teams to ensure A) the highest quality materials/programs are built, which B) drive measurable results positively and meaningfully impacting customers.
- Design programs that can be scaled globally, share best practices across business units, and validate their efficacy.
The Role’s Impact
- Partner closely with FE leadership, FE individual contributors, Sales Enablement and other stakeholders to discover, validate, prioritize, and scale technical enablement initiatives equally in a bottoms-up and a tops-down capacity.
- Collaboratively triage the most critical initiatives which stand to drive the largest efficiencies in AEB FE, thereby optimizing FE mindshare utilization.
- Tailor company-wide initiatives and programs specifically to the context of AEB FE.
- Coordinate, orchestrate, and/or facilitate FE enablement sessions, ongoing workshops, and/or launches in the AEB BU.
Required Skills and Experience
- 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.
- Expertise in stakeholder management
- 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 the expected 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 anticipated 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.
Zone 1 Pay Range
$153,800—$215,375 USD
Zone 2 Pay Range
$138,400—$193,825 USD
Zone 3 Pay Range
$130,800—$183,075 USD
Zone 4 Pay Range
$123,000—$172,275 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.
BenefitsAt 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.
