SLSQ426R765
About Databricks
At Databricks, we are driven by innovation, customer obsession, and a relentless pursuit of excellence. Our culture values first principles thinking, action-oriented execution, and putting the company first to drive lasting impact in the data and AI landscape. As we continue to scale globally, we are expanding our enablement function to ensure every field engineer and seller is empowered for success.
Role OverviewWe are seeking a rockstar Sr. Sales Enablement Program Manager - Field Onboarding to manage and scale high-impact global onboarding programs for our Sales and Field Engineering teams. This role will be a key contributor to the success of Field Onboarding at Databricks, bringing exceptional program management expertise as we architect, build, and scale Field Onboarding.
The ideal candidate thrives in a fast-paced and dynamic environment, has managed the planning and execution of both virtual and in-person enablement events in a supporting or lead role, and has a track record of being data-driven in measuring program impact.
Additionally the ideal candidate values collaboration and attention to detail, is passionate about leveraging technology to boost productivity, and is an expert communicator who helps make the complex simple.
Key ResponsibilitiesProgram Management
- Own the end-to-end planning and coordination of global Field Onboarding programs, supported by a team of facilitators and content specialists.
- Lead coordination of internal field teams and SMEs to ensure onboarding programs are properly resourced and prepared to deliver an exceptional onboarding experience.
- Support and facilitate virtual onboarding training as needed.
- Document and maintain onboarding handbooks, detailing the steps to prepare and execute new hire training for Sales and Field Engineering programs.
- Manage the new hire mentorship program and technology stack.
- Maintain and curate LMS content repository, ensuring training materials remain current
Stakeholder Management & Collaboration
- Partner closely with Sales, Field Engineering, StratOps, and cross-functional leaders to ensure onboarding initiatives are aligned with business goals and GTM strategies.
- Gather and prioritize requirements from field and business leaders to inform program strategy and ensure relevance.
Measurement & Impact
- Lead the compiling and measurement of KPIs related to program effectiveness (e.g., ramp time, productivity, etc).
- Report on concurrent tasks, timelines, and deliverables, ensuring all milestones are met.
- Use data-driven insights and participant feedback to iterate and continuously raise the bar on program quality and outcomes.
- 5+ years of experience in enablement, program management, or L&D, with a proven track record of managing and scaling enablement programs for sales and/or field engineering roles in a high-growth SaaS or technology environment.
- Strong program management skills: able to independently manage multiple complex projects, drive execution, and deliver measurable results at scale.
- Exceptional communication, stakeholder management, and executive presence, with the ability to influence and align cross-functional teams.
- Data-driven mindset: comfortable defining metrics, analyzing impact, and iterating programs for continuous improvement.
- Background and proficiency using an enablement technology stack (LMS/CMS) and Google Workspace. Experienced with applying AI tooling into project management workflows.
- Positive, proactive attitude: you thrive in ambiguity, operate with a high degree of ownership, and embody a growth mindset.
- Ability to work independently and as part of a global, distributed team.
- Shape the enablement strategy at one of the world’s fastest-growing data and AI companies.
- Work with world-class teams and cutting-edge technology in a culture that values innovation, collaboration, and impact.
- Opportunity to build and scale programs that directly drive business growth and field success.
Ready to raise the bar for enablement at Databricks? Apply now and help us empower every field engineer and seller to achieve their best.
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.
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.
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