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  <jobs>
    <job>
      <externalid>a7186358-298</externalid>
      <Title>Sr. Manager, Field Engineering - Agencies</Title>
      <Description><![CDATA[<p>We are seeking a dynamic Sr. Manager, Field Engineering - Agencies to lead a team of Solution Architects in our Agency segment. As a key member of our Field Engineering team, you will be responsible for driving the technical success of our customers in the Agencies vertical. This includes hiring, training, and growing a team of Solutions Architects, making customers successful with Databricks, and establishing relationships across the business to ensure customer and team success.</p>
<p>The Agencies vertical sits at the intersection of data, AI, and advertising. You will lead a team that works with some of the most data-intensive companies in the world, holding companies managing billions in media spend and influencing the broader buy and sell side ecosystem.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Hiring, training, and growing a team of Solutions Architects</li>
<li>Making customers successful with Databricks</li>
<li>Establishing relationships across the business to ensure customer and team success</li>
<li>Partnering with sales leadership to hit sales and consumption targets</li>
<li>Keeping your team of SAs ahead of the technical curve</li>
</ul>
<p>To be successful in this role, you will need to have a strong technical background, excellent leadership skills, and the ability to communicate effectively with both technical and non-technical stakeholders.</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>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$192,100-$264,175 USD</Salaryrange>
      <Skills>data warehousing, big data, machine learning, solution architecture, technical leadership, customer success, sales leadership, Databricks, Apache Spark, Delta Lake, MLflow, Lakehouse</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/8250195002?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>Northeast - United States</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <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?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>Texas</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>