CSQ127R328
Senior Manager Learning Platforms
Mission
As Senior Manager Learning Platforms at Databricks, you will apply your experience and expertise in technical enablement, product management, and software engineering to oversee and architect Databricks learning platform solutions, with a focus on creating an optimized, innovative learner experience.
You’ll work closely with global internal, partner, customer, and university stakeholders, marketing, learning architecture, curriculum and certification content development teams to deliver industry-leading Data + AI learning platforms for the Databricks learning landscape.
Outcomes
- Manage team of learning platforms specialists to define, prioritize and communicate the learning platforms roadmap to meet stakeholder learning platform needs
- Establish and maintain relationship with third party platform providers to ensure expectations are defined and being met
- Establish best practices for the scoping of new learning platforms and tools
- Assist in the design and implementation of learning platforms to meet training revenue objectives
- Support learning audiences by enabling support teams to answer Databricks enablement questions
Skills/Experience
- Strong understanding of technical learning platform requirements (learning management systems, lab platforms, performance-based testing, etc.)
- Strong analytical skills and data-driven decision making
- Strong program management, stakeholder management and interpersonal skills
- Experience designing and organizing a technical learning platform offering
- Experience delivering cloud-based SaaS platforms for learning purposes
- Experience facilitating and consolidating stakeholder to prioritize technical learning needs
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 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. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$207,800—$285,800 USD
Zone 2 Pay Range
$187,000—$257,200 USD
Zone 3 Pay Range
$176,600—$242,900 USD
Zone 4 Pay Range
$166,200—$228,600 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.
