Senior Customer Enablement Program Manager

About the role

As a Senior Program Manager within the Global Scaled User Enablement Practice, you will have the unique opportunity to design and launch new learning experiences that expand how Databricks enable upskills and activates users globally.

Responsibilities

• Build and launch new learning programs end-to-end in close partnership with teams across Learning & Enablement, Operations, Regional Business and GTM - Marketing, Sales and Field Engineering
• Design and scale innovative learning programs within Databricks Free Edition, turning the platform into a world-class entry point for Learner growth and User adoption globally
• Define learning initiatives for emerging technical audiences, such as App Developers and Database Admins, in close partnership with Product, Content Development, and Regional Program Managers to design, pilot, and scale learning programs globally
• Track program performance and drive accountability through data-driven reporting and actionable insights

Requirements

• 6+ years of technical program management and stakeholder management experience in an enterprise technology company
• Experience designing and launching new programs or pilots from zero to one, with the ability to navigate ambiguity and work independently with minimal direction
• Strong understanding of enablement programs and training methodologies
• Strong communications and presentation skills

Qualifications

• Impact-driven with a growth mindset, embraces change, adapts quickly, and sees ambiguity as an opportunity
• Experience in Big Data, AI, data science, or equivalent enterprise technologies preferred
• Ability to develop compelling stories based on data and motivate stakeholders and leaders to action
• Experience creating scalable and simple processes and resources that are adopted by cross-functional teams
• Experience working in or with product and go-to-market teams, such as professional services, customer success, marketing, sales

Skills

• AI-first mindset
• Leverage data, automation, and intelligent tooling to scale impact
• Never lose sight of the human experience at the center of every program

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 click here.

Pay

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.

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 click here.

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.