United States
Location: This is a fully remote position
REQ ID: FEQ226R255
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 Sales Enablement Manager - Field Onboarding to independently design, execute, and scale high-impact onboarding programs for our Sales and Field Engineering teams. This is a high-visibility, high-impact role for a self-starter who thrives in a fast-paced, technical, and rapidly evolving environment. You will be responsible for building world-class enablement experiences that accelerate ramp time, drive productivity, and foster continuous growth for both new hires and people managers across the globe.
Key ResponsibilitiesProgram Design & Execution
- Independently architect, launch, and iterate scalable enablement programs leveraging innovative enablement technologies and channels.
- Translate complex product, process, and skills content into actionable, field-ready learning experiences.
- Develop role-specific learning tracks, credentials, and ongoing development paths for diverse field audiences
- Own the end-to-end lifecycle of enablement programs, from needs analysis and stakeholder alignment to delivery, measurement, and continuous improvement.
Stakeholder Management & Collaboration
- Partner closely with Sales, Field Engineering, StratOps, and cross-functional leaders to align enablement initiatives with business goals and GTM strategies.
- Gather and prioritize requirements from field and business leaders to inform program strategy and ensure relevance.
- Build strong relationships with subject matter experts and executive sponsors to drive program adoption and impact.
Measurement & Impact
- Define and track KPIs to measure program effectiveness (e.g., ramp time, productivity, etc).
- Use data-driven insights and participant feedback to iterate and continuously raise the bar on program quality and outcomes.
Enablement Delivery
- Facilitate and oversee onboarding sessions, manager workshops, and enablement events (virtual and in-person) at scale.
- Expected travel is 25% - for onboarding delivery at Databricks’ San Francisco HQ, with opportunities for international travel to scale regional onboarding.
- Ensure all enablement resources, playbooks, and tools are up-to-date, actionable, and accessible for global teams.
- 10+ years of experience in enablement, program management, or L&D, with a proven track record of designing and scaling onboarding and development programs for technical sales and/or field engineering roles in a high-growth SaaS or technology environment.
- Deep expertise in adult learning principles, instructional design, and enablement best practices for both technical and non-technical audiences.
- 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.
- Experience with enablement technologies (LMS, CMS, e-learning, microlearning platforms) and sales/field tech stacks.
- Positive, proactive attitude: you thrive in ambiguity, operate with high 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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