<p data-pm-slice="1 1 []">FEQ427R549</p> <h2><strong>Technical Enablement Specialist - Field Engineering Onboarding</strong></h2> <h2><strong>The Impact You’ll Have</strong></h2> <p>We are seeking a Technical Enablement Specialist to lead and advance how we onboard new Field Engineers at Databricks. </p> <p>At Databricks, we’re all builders. This role will develop the future of technical GTM Onboarding in the era of AI and innovate a highly-scaled program with a builder mentality. </p> <p>You will ensure every Field Engineer - from Solution Architects to Forward Deployed Engineers - leaves their ramp period with the core skillsets required of our technical GTM team, and can demonstrate role-readiness across our platform, product, and customer advisor competencies. </p> <p>This is an individual contributor role where you’ll lead through direct ownership, building AI-native enablement solutions, and cross-functional influence. </p> <h2><strong>What You’ll Do</strong></h2> <ul> <li>Reimagine Field Engineering Onboarding and serve as the technical innovation engine for ramping technical GTM teams.</li> <li>Leverage deep technical expertise to build, ship, and accelerate AI-native onboarding experiences, avoiding manual, one-size-fits-all approaches with tools that scale globally.</li> <li>Codify what 'great' looks like for a new Field Engineer in an AI-first world — working with FE leadership and StratOps to translate field expectations into measurable onboarding milestones.</li> <li>Advance the Field Engineering in-person onboarding experiences and lead the global planning and delivery, partnering with Onboarding Ops and Technical Trainers.</li> <li>Serve as an advisor and trusted enablement partner to the Solution Engineering early career program.</li> <li>Build strong partnerships with global Field Engineering, Product, and StratOps leaders to keep onboarding current and grounded in what the field actually needs on day one.</li> <li>Accountable for Field Engineering Onboarding OKRs - role-readiness and velocity - and collaborate with StratOps on leading indicators and results.</li> <li>Travel (up to 25%) for onboarding program delivery as you deploy new features and continuously innovate.</li> </ul> <h2><strong>What Success Looks Like</strong></h2> <ul> <li>The AI tools, skills, and assessments you build are actively used by new hires and carried into the field. </li> <li>Field Engineers leave onboarding with validated skillsets in building with Databricks and are prepared to serve as trusted advisors in their accounts. </li> <li>Develop durable AI-native solutions for the global planning, operations, and delivery of Field Engineering Onboarding. </li> <li>Land early wins to personalize onboarding in the first 3 months, with a roadmap to mature over the first 6 months.</li> <li>Be a trusted voice and enablement partner to the early career Solutions Engineering leadership team.</li> <li>Partner with the Technical Excellence and Field Enablement teams to align onboarding to global and regional priorities. </li> </ul> <h2><strong>What We Look For </strong></h2> <ul> <li>5+ years of experience in a GTM role, including solution engineering or solution architecture, post-sales or delivery, GTM enablement, or GTM Onboarding in a hyper-growth SaaS/AI environment.</li> <li>Deep technical skills and strong knowledge of a Field Engineering organization. </li> <li>A sharp instinct for field-readiness and the judgment to design a ramp that gets someone there fast.</li> <li>Demonstrated ability to own high-impact and scaled programs over time, with outsized outcomes as an individual contributor. </li> <li>Experience building technical enablement or internal tools with AI (skills, apps, or content) and demonstrated ability integrate AI into programmatic workflows.</li> <li>Strong executive presence and stakeholder management skills; ability to influence senior leaders and cross-functional partners.</li> <li>Exceptional communication. You make complex technical concepts land for a technical audience across every role and tenure.</li> <li>A bias for shipping and iterating in a fast-moving environment.</li> </ul> <h2><strong>Nice To Have</strong></h2> <ul> <li>Hands-on Databricks experience, or experience with competitive platforms.</li> <li>Familiarity with a consumption-based business motion.</li> <li>Experience designing onboarding or enablement at a data, AI or infrastructure company during a period of rapid scaling.</li> <li>Comfortable with facilitation and the ability to “own the room” from the front of the classroom.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">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, Datab