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Job Overview
Type
Work Style
PostedFeb 17, 2026
SourceDatabricks
This position may no longer be available
Posted . It may have been filled, expired, or closed.
Type
FULL TIME
Work Style
On-site
GAQ326R375
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is one of the world’s fastest-growing data and AI companies — an industry leader transforming how organizations harness the power of their data. As we scale rapidly across the globe, we’re evolving how talent development works in an AI-native company.
We are seeking a program leader who doesn’t just run learning programs — but builds scalable learning systems. This role sits at the intersection of talent development, employee experience, and applied AI innovation. You will design and operationalize new approaches to onboarding, manager effectiveness, career growth, and leadership development using automation, data, and emerging AI technologies.
Join our Talent and Leadership Development team to architect and scale flagship experiences that empower thousands of Bricksters worldwide. This is an opportunity to help redefine how development works in the era of AI — moving beyond workshops and courses toward embedded, continuous, and agent-supported learning.
Our team is organized around four core pillars that support every stage of the employee and leadership journey:
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.
Prepare for your Program Manager, Talent & Leadership Development (AI-Enabled Learning) interview at Databricks.