Req Id: SLSQ426R766
About Databricks
At Databricks, we are at the forefront of shaping the future of data and AI. Our culture is built on customer obsession, first-principles thinking, and a commitment to execution that drives measurable business outcomes. As we continue expanding globally, we are scaling our Field Enablement team to ensure every field engineer has the tools, skills, and resources they need to be successful from day one.
Role OverviewWe are looking for a Field Engineering Onboarding Program Manager who will operationalize and scale our field engineering onboarding programs that accelerate the success of our global Field Engineering organization. This role combines program management, operational rigor, and world-class learning design to deliver innovative and scalable onboarding experiences that reduce ramp time, increase technical and business impact, and evolve alongside a fast-moving product and GTM strategy.
This is a highly cross-functional role and the ideal candidate thrives in fast-paced environments, brings innovation and operational excellence to scaling complex programs, and can translate technical concepts into impactful learning journeys.
Key ResponsibilitiesProgram Strategy & Operations- Design and scale onboarding frameworks that support hypergrowth in hiring across Field Engineering.
- Build repeatable, structured processes to ensure programs can scale globally while maintaining high quality and consistency.
- Translate technical, product, and process complexity into structured, role-specific enablement paths.
- Create content, curriculum, and innovative learning that can be easily updated and scaled.
- Manage the full lifecycle of onboarding programs (needs analysis, design, deployment, iteration, measurement).
- Partner with global Field Engineering, Sales, and StratOps leaders to align onboarding priorities with business and technical objectives.
- Establish operating rhythms with stakeholders to ensure onboarding programs remain relevant, adaptive, and outcomes-focused.
- Build strong relationships with SMEs, managers, and executive sponsors to drive engagement and long-term adoption.
- Define onboarding KPIs — ramp time, time-to-first-value, productivity benchmarks — and track program impact at scale.
- Leverage both quantitative and qualitative feedback to continually optimize onboarding experiences.
- Implement scalable feedback loops and reporting dashboards to communicate results to senior leadership.
- Facilitate onboarding and manager enablement sessions for technical audiences, both virtual and in-person.
- Adapt delivery models and content to suit global audiences, regional needs, and asynchronous formats.
- Ensure enablement resources, playbooks, and content repositories remain accurate, up-to-date, and accessible.
- Travel as needed (approx. 25%) for onboarding delivery and scaling regionally.
- 10+ years of experience in enablement, program management, or onboarding design for technical sales or engineering roles in SaaS/technology.
- Proven ability to operationalize and scale onboarding programs that support rapid organizational growth.
- Expertise in adult learning design and enablement best practices, especially for technical audiences.
- Strong program management skills: ability to manage multiple complex programs independently, deliver on-time, and mitigate risks.
- Data-driven mindset: experience defining metrics, building dashboards, and optimizing learning outcomes using insights.
- Experience with modern enablement technologies (LMS, CMS, microlearning platforms, collaboration tools).
- Strong executive presence and stakeholder management skills; ability to influence senior leaders and cross-functional partners.
- Growth mindset and proactive ownership: ability to thrive in ambiguity and continuously improve.
- Lead the evolution of field onboarding at one of the fastest-growing companies in the data and AI space.
- Design and scale programs that directly improve technical productivity and accelerate revenue impact.
- Collaborate with innovative, mission-driven teams solving the world’s most complex data challenges.
- Opportunity to build high-visibility, global programs that shape the success of engineers across the company.
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.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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