<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>fd677c20-edd</externalid>
      <Title>AI Operations Specialist</Title>
      <Description><![CDATA[<p>We are reimagining GTM at Databricks and are seeking an AI Operations Specialist to support the operational execution of AI agent deployments across APJ. You&#39;ll assist with QA, enablement, and performance monitoring, working under the guidance of the AI Ops Manager and supporting technical teams to ensure AI agents deliver business value in the region.</p>
<p>The ideal candidate brings operational experience, emerging technical skills, eagerness to learn, and enthusiasm for AI-powered solutions.</p>
<p>Key Responsibilities:</p>
<p>Operational Execution: Support daily operations of AI agents, including basic system monitoring, logging issues, and escalating to appropriate team members when needed.</p>
<p>Documentation Support: Help maintain SOPs and process documentation. Contribute to updates and ensure materials remain current and accessible.</p>
<p>QA &amp; Testing Support: Assist with UAT/QA activities, execute test cases, log findings, and support data validation tasks under guidance from senior team members.</p>
<p>Regional Coordination: Coordinate with APJ sales, marketing, and IT teams to support integration activities and gather feedback on AI tool adoption.</p>
<p>Enablement Materials: Create and update training guides, FAQs, and quick reference materials. Assist with training session delivery and respond to user questions.</p>
<p>Performance Tracking: Monitor AI system metrics using existing dashboards and reports. Surface anomalies or trends to the broader team for investigation.</p>
<p>Data &amp; Reporting: Support KPI tracking and reporting activities. Help compile data for business reviews and contribute basic insights.</p>
<p>What We Look For:</p>
<p>Experience: Minimum of 2–3 years in sales operations, customer success, or related field. Exposure to CRM platforms or sales tools is preferred.</p>
<p>Technical Aptitude: Basic understanding of data and reporting concepts. Willingness to learn technical tools and systems. Familiarity with Excel, Google Sheets, or basic data analysis is helpful.</p>
<p>Execution Focus: Strong organizational skills with attention to detail. Ability to follow established processes and escalate when needed.</p>
<p>Collaborative Mindset: Team player who works well with cross-functional partners. Comfortable asking questions and seeking guidance.</p>
<p>Communication: Clear verbal and written communication. Ability to document processes and create straightforward training materials.</p>
<p>Learning Orientation: Eager to develop new skills and grow technical capabilities. Curiosity about AI and automation technologies.</p>
<p>Adaptability: Comfortable with change and evolving priorities. Openness to learning low-code/no-code platforms and adapting to new tools.</p>
<p>This role is a great entry point to AI operations and GTM transformation. If you are detail-oriented with a passion for learning and technology, we encourage you to apply.</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>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>data and reporting concepts, CRM platforms or sales tools, Excel, Google Sheets, basic data analysis</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. It was founded by the original creators of Databricks, 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/8397501002</Applyto>
      <Location>Singapore</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>