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    <job>
      <externalid>023e0d6c-5a8</externalid>
      <Title>Geo Core Account Executive - Oil, Gas &amp; Energy</Title>
      <Description><![CDATA[<p>As an Enterprise Account Executive on our Oil, Gas and Energy enterprise sales team, you will be responsible for selling Databricks&#39; enterprise cloud data platform powered by Apache Spark to large-scale industrial clients.</p>
<p>You will present a territory plan within the first 90 days, meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners, and close both new accounts and existing accounts.</p>
<p>To succeed in this role, you will need to have previously worked in an early-stage company and have experience in field sales within big data, Cloud, and SaaS sales.</p>
<p>You will also need to have prior customer relationships with CIOs, program managers, and essential decision-makers, and be able to simply articulate intricate cloud technologies.</p>
<p>The pay range for this role is $220,100-$302,600 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.</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>executive</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$220,100-$302,600 USD</Salaryrange>
      <Skills>Enterprise sales, Cloud sales, Big data sales, SaaS sales, Apache Spark, Lakehouse, Delta Lake, MLflow, Prior customer relationships with CIOs, Program managers, Essential decision-makers</Skills>
      <Category>Sales</Category>
      <Industry>Energy</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 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/8439679002</Applyto>
      <Location>Texas</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ddab96da-807</externalid>
      <Title>Enterprise Account Executive - Digital Native</Title>
      <Description><![CDATA[<p>As a Digital Native Account Executive at Databricks, you will be responsible for selling to high-growth, technologically advanced companies in Japan. Your primary goal will be to close new accounts while growing existing ones by identifying new opportunities.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Developing and executing account strategies to penetrate new markets and expand existing ones</li>
<li>Communicating account strategies to senior leadership on a regular basis</li>
<li>Allocating Databricks resources to break into new accounts and grow existing ones</li>
<li>Meeting with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes</li>
<li>Exceeding activity, pipeline, and revenue targets</li>
</ul>
<p>To succeed in this role, you will need to have a passion for selling a highly technical product in the cloud, experience selling to Digital Native customers in Japan, and a proven track record of exceeding sales quotas.</p>
<p>The ideal candidate will be a creative salesperson with a well-defined prospecting motion, sales experience within big data, Cloud, or SaaS sales, and a proven ability to close new accounts while working on existing ones.</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>executive</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Value Selling Methodologies, Cloud sales, Big data sales, SaaS sales, Sales experience in Japan, Digital Native sales, Technical sales</Skills>
      <Category>Sales</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 has over 10,000 organisations worldwide as clients.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8456404002</Applyto>
      <Location>Tokyo, Japan</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>30898795-a57</externalid>
      <Title>Strategic Enterprise Hunter Account Executive, Telco</Title>
      <Description><![CDATA[<p>As a Strategic Enterprise Hunter Account Executive at Databricks, you will be a strategic sales professional experienced in selling into enterprise accounts. Your role will involve guiding deals forward to compress decision cycles, understanding products in depth, and communicating their value to customers and system integrators.</p>
<p>Key responsibilities include meeting with CIOs, IT executives, LOB executives, program managers, and other important partners, closing both new and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, and tracking customer details using Salesforce.</p>
<p>To succeed in this role, you will need to have previously worked in an early-stage company, have field sales experience within big data, cloud, or SaaS sales, and have hunter (net-new logo) experience. You will also need to have prior customer relationships with CIOs, program managers, and essential decision-makers, be able to simply articulate intricate cloud technologies, and have 7+ years of experience exceeding sales quotas.</p>
<p>In exchange for your hard work, Databricks offers accelerators above 100% quota attainment, the chance to close exciting deals, and a comprehensive benefits package.</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>executive</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Cloud sales, Big data sales, SaaS sales, Hunter (net-new logo) experience, Prior customer relationships with CIOs, program managers, and essential decision-makers, Ability to simply articulate intricate cloud technologies, Spark and big data, Passion for cloud technologies</Skills>
      <Category>Sales</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. Over 10,000 organisations worldwide rely on its platform.</Employerdescription>
      <Employerwebsite>https://databricks.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8438124002</Applyto>
      <Location>Toronto, Canada</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>782d1959-bad</externalid>
      <Title>Account Executive - Public Sector</Title>
      <Description><![CDATA[<p>As an Account Executive, you will play a crucial role in acquiring and growing key customers in the public sector for Databricks. This involves evangelizing the company&#39;s Unified Analytics Platform powered by Spark, launching the Databricks brand in various industries, and driving business through local partners.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Prospecting, identifying, and sourcing new sales opportunities, building pipeline individually and with the Databricks SDR team</li>
<li>Engaging with business and technical decision-makers and leading them through the evaluation and buying process</li>
<li>Exceeding individual activity, pipeline, and annual revenue targets</li>
<li>Engaging with and driving business through local partners (technology partners, ISVs, SIs, and GSIs)</li>
<li>Driving customer success and upsell in existing customers</li>
</ul>
<p>To succeed in this role, you will need 7+ years of experience selling SaaS solutions to public sector/enterprise/mid-market/commercial/customers in Singapore. A proven track record in enterprise sales roles, ideally in Big Data, Cloud, or SaaS technology, is also essential.</p>
<p>Additionally, you should have a solution and business-outcomes-focused sales approach, with the ability to simply articulate intricate cloud &amp; big data technologies and their business value for the customer.</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>executive</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Enterprise sales, SaaS solutions, Public sector sales, Big Data sales, Cloud sales, Solution and business-outcomes-focused sales approach, Ability to simply articulate intricate cloud &amp; big data technologies and their business value for the customer</Skills>
      <Category>Sales</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 analytics platform powered by Spark.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8438983002</Applyto>
      <Location>Singapore</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>