FEQ126R242
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
The Databricks Learning and Enablement team is on a mission to up-skill Data and AI professionals in our partner ecosystem to help our mutual customers leverage Databricks and accelerate business outcomes. We are looking for a Partner Enablement Manager in the region to support partner onboarding and ongoing partner talent transformation. Working with the account team and partner business leads in the region, you will develop enablement strategies for our Global Elites System Integrators, and develop enablement strategies for the RSIs. These strategies will include a balanced combination of ILT, eLearning, and blended training offerings to the partner with one of the goals being certification. You will ensure customer success with the right number of credentialed partner resources to support our customer accounts.
The impact you will have:
- Manage and coordinate the enablement activities for Databricks Americas partners
- Develop and maintain programs that support Partner Account Managers in implementing effective enablement strategies for our high-priority managed partner accounts
- Work with cross-functional stakeholders to set and meet annual learning targets for managed and unmanaged partners in your region
- Create a strategy to help our partners meet the capacity and capability requirements needed for your region
- Track weekly, quarterly, and year-to-date metrics on partners trained, certifications earned, and service assessments, and report out to cross-functional executive leadership on a regular cadence
- Work with Enablement leadership to make suggestions to the curriculum roadmap on high priority content required to support the Databricks Partner ecosystem
What we look for:
- Experience in Big Data, AI, or Data Science
- Tech bar: understand Databricks at a high level (AE)
- Ability to be strategic while executing tactically
- Demonstrated experience in Customer Success, training, or managing a book of business (Partner OKRs, P&L, etc.)
- Work with internal and external stakeholders to drive business outcomes (partner enablement OKRs - Learners/credentials)
- Ability to translate partner business outcomes to learning plans and enablement recommendations
- Strong program management, stakeholder management, written and verbal communication skills
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 1 Pay Range
$128,500—$197,000 USD
Zone 2 Pay Range
$115,700—$177,300 USD
Zone 3 Pay Range
$109,200—$167,500 USD
Zone 4 Pay Range
$102,800—$157,600 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.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
-
Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
-
Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
Similar Jobs
.png)
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.
