<?xml version="1.0" encoding="UTF-8"?>
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  <jobs>
    <job>
      <externalid>e7613e05-073</externalid>
      <Title>Customer Enablement Specialist</Title>
      <Description><![CDATA[<p>Job Title: Customer Enablement Specialist</p>
<p>Location: Bellevue, Washington</p>
<p>Department: Education &amp; Training</p>
<p>CSQ227R234</p>
<p><strong>About the Role</strong></p>
<p>This role is required to work in a hybrid office setting in our Bellevue, WA office.</p>
<p><strong>The Opportunity</strong></p>
<p>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.</p>
<p>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.</p>
<p>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.</p>
<p><strong>What You&#39;ll Do</strong></p>
<ul>
<li>Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.</li>
</ul>
<ul>
<li>Own a high-volume enablement pipeline , identifying learner needs, recommending tailored paths, and tracking adoption progress.</li>
</ul>
<ul>
<li>Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.</li>
</ul>
<ul>
<li>Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.</li>
</ul>
<ul>
<li>Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.</li>
</ul>
<ul>
<li>Report key metrics , trained accounts, learner growth, conversion rates, and training revenue , using data to guide your priorities.</li>
</ul>
<ul>
<li>Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.</li>
</ul>
<p><strong>What You Bring</strong></p>
<ul>
<li>2–4 years in a technical, customer-facing role , technical training, pre-sales, enablement, or customer success preferred.</li>
</ul>
<ul>
<li>Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).</li>
</ul>
<ul>
<li>Confidence delivering introductory technical content to non-expert audiences.</li>
</ul>
<ul>
<li>Working knowledge of AI/ML concepts , able to explain how Databricks enables practical use cases.</li>
</ul>
<ul>
<li>Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.</li>
</ul>
<ul>
<li>A data-driven mindset with strong organisational habits and comfort managing many concurrent accounts.</li>
</ul>
<ul>
<li>Team-first attitude , proactive collaborator who knows when to escalate for deeper technical support.</li>
</ul>
<p><strong>Bonus Points</strong></p>
<ul>
<li>Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).</li>
</ul>
<ul>
<li>Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).</li>
</ul>
<ul>
<li>Exposure to Databricks Apps, REST APIs, or AI agent concepts.</li>
</ul>
<ul>
<li>Experience in a role with enablement or training-related revenue metrics.</li>
</ul>
<p><strong>Why This Role, Why Now</strong></p>
<p>New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users , business analysts, app builders, domain experts , needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.</p>
<p>Pay Range Transparency</p>
<p>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.</p>
<p>Zone 2 Pay Range $86,600-$119,150 USD</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$86,600-$119,150 USD</Salaryrange>
      <Skills>data and analytics platforms, cloud SQL, BI tools, data lakes, AI/ML concepts, Databricks Apps, REST APIs, AI agent concepts, Databricks certifications, SaaS, cloud, data platforms, BI or AI/BI tools</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a data intelligence platform to unify and democratize data, analytics, and AI.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8431935002</Applyto>
      <Location>Bellevue, Washington</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>43ca4523-d1d</externalid>
      <Title>Customer Enablement Specialist</Title>
      <Description><![CDATA[<p>As a Customer Enablement Specialist at Databricks, you will play a critical role in helping customers succeed with our data and AI platform. You will be responsible for managing a broad portfolio of accounts, supporting new and emerging personas, and helping them succeed with Databricks&#39; latest innovations in AI/BI, Databricks Apps, and agent-based development.</p>
<p>Your main objective will be to convert participation in Databricks&#39; scale programs (webinars, workshops, digital learning) into structured training engagements. You will own a high-volume enablement pipeline, identifying learner needs, recommending tailored paths, and tracking adoption progress.</p>
<p>To achieve this, you will deliver engaging L100–L200 sessions and demos to help new personas understand what&#39;s possible with Databricks. You will build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.</p>
<p>You will partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles. You will report key metrics – trained accounts, learner growth, conversion rates, and training revenue – using data to guide your priorities.</p>
<p>In addition, you will provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.</p>
<p>We are looking for a highly motivated and organized individual with excellent communication skills and a consultative approach. You should have hands-on familiarity with modern data and analytics platforms, confidence delivering introductory technical content to non-expert audiences, and a working knowledge of AI/ML concepts.</p>
<p>If you are passionate about helping customers succeed and have a strong desire to learn and grow with our company, we encourage you to apply for this exciting opportunity.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$86,600-$119,150 USD</Salaryrange>
      <Skills>modern data and analytics platforms, customer-facing role, technical training, pre-sales, enablement, customer success, AI/BI, Databricks Apps, agent-based development, Databricks certifications, SaaS, cloud, data platforms, BI or AI/BI tools, Databricks Genie, Tableau, Power BI</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a unified platform for data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8431927002</Applyto>
      <Location>Bellevue, Washington</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>