Program Manager, Talent & Leadership Development (AI-Enabled Learning)

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:

• New Bricksters:
  We design and deliver a high-impact new hire orientation experience that ensures new joiners are engaged, connected to our culture, and equipped with the foundational knowledge needed to succeed. 
• Leaders:
  We equip leaders at all levels with the skills, mindsets, and frameworks needed to accelerate performance. This includes our flagship annual leadership conference - Leadershift.
• High-Potential Talent:
  We run bespoke programs to support our high-potential talent to advance their careers and prepare them for wider leadership roles.
• All Bricksters (Career & Growth):
  We enable every Brickster to grow their career at Databricks through programs focused on career navigation and long-term growth.

• Own and scale one or more flagship talent development programs (e.g., career development, manager enablement, onboarding, or top talent acceleration).
• Design and implement AI-enabled learning experiences, including copilots, assistants, mentoring networks, and personalized learning pathways.
• Evolve programs from event-based learning to continuous, embedded development in the flow of work.
• Partner with HR, business leaders, and technical teams to translate business problems into scalable development solutions.
• Facilitate global programs across functions and regions (e.g., onboarding, leadership development).
• Build and experiment with new approaches to agentic learning — using AI agents, automation, and knowledge systems to support employees, managers, and leaders in real time.
• Leverage data, experimentation, and analytics to understand skills gaps, adoption, and business impact.
• Measure program effectiveness and continuously iterate using product and growth-mindset practices (pilots, testing, and iteration).
  
  

• Bachelor’s degree (or equivalent experience) and 5+ years owning global learning, talent, or people programs in fast-paced or scaling organizations.
• Experience building scalable programs (onboarding, manager development, leadership development, or talent acceleration) — not just facilitating workshops.
• Strong systems thinker: you design processes and experiences that work for thousands of employees, not dozens.
• Demonstrated curiosity and practical use of AI tools (e.g., copilots, knowledge assistants, automation workflows, personalization, or analytics) to improve employee or learning experiences.
• Comfortable experimenting and prototyping new solutions with limited resources.
• Highly analytical: you use data to prioritize problems, evaluate effectiveness, and drive adoption.
• Strong stakeholder management and ability to influence senior leaders.
• Clear communicator who can translate business needs into practical, scalable development solutions.
• Experience in technology or high-growth environments strongly preferred.

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.

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.

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.

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.

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. 

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.