Customer Enablement Specialist

CSQ227R5 About the Role *This role is required to work in a hybrid office setting in our Bellevue, WA office. The Opportunity Databricks runs some of the largest customer enablement programs in the industry — workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact. This isn’t a sales or business development role — every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases. You’ll manage a broad portfolio of accounts, supporting new and emerging personas — business users, analysts, and app developers — and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development. What You'll Do Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements. Own a high-volume enablement pipeline — identifying learner needs, recommending tailored paths, and tracking adoption progress. Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks. Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement. Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles. Report key metrics — trained accounts, learner growth, conversion rates, and training revenue — using data to guide your priorities. Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences. What You Bring 2–4 years in a technical, customer-facing role — technical training, pre-sales, enablement, or customer success preferred. Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes). Confidence delivering introductor y technical content to non-expert audiences. Working knowledge of AI/ML concepts — able to explain how Databricks enables practical use cases. Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment. A data-driven mindset with strong organizational habits and comfort managing many concurrent accounts. Team-first attitude — proactive collaborator who knows when to escalate for deeper technical support.