SLSQ426R764
Field Enablement ManagerWe are seeking an enablement professional to help support Field Enablement for the Americas Enterprise & Emerging business unit (BU), with a “one team” joint sales + technical go-to-market motion. Americas Enterprise & Emerging includes Startup, Emerging Enterprise, and Digital Native teams, Retail/Consumer Goods/Travel (RCT) and Communications/Media/Entertainment/Gaming (CMEG) enterprise industries teams, along with geographic teams from Latin America.
This role will be a critical business partner to the leaders of RCT and CMEG enterprise teams and the cross-functional teams that support revenue growth. It will be responsible for developing and executing sales enablement and industry programming for multiple industries in the business unit.
The ideal candidate will bring expertise in sales acumen and a deep understanding of a consumption-based motion, as well as a genuine passion for data and AI technologies, field enablement, and adult learning principles.
The role will report directly to the Sr. Manager of Field Enablement for the AMER Enterprise & Emerging BU, and is an individual contributor role.
The impact you will have:
- Through a strong grasp of the consumption GTM model, you will apply best practices to assess and improve enablement programs to boost sales productivity.
- Partner closely with leadership and other stakeholders to discover, validate, prioritize, and scale sales enablement initiatives.
- Develop 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, value messaging, capabilities, and new processes.
- Lead, facilitate, and coordinate enablement in the region for a sales and technical audience.
What we look for:
- 6+ years of relevant experience in sales, sales 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 pre-sales GTM audience.
- Possess or be willing to develop proficiency in foundational Data/AI concepts, the Lakehouse Architecture, and Databricks product.
- Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences.
- Experience leveraging AI technologies to create and deliver enablement.
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 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 anticipates 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.
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 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 anticipates 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.
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 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 anticipates 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.
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.
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