<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>2378a863-cea</externalid>
      <Title>Enterprise Account Executive - Financial Services</Title>
      <Description><![CDATA[<p>As an Enterprise Account Executive at Databricks, you will be a strategic sales professional experienced in selling into Financial Services accounts. You will know how to sell innovation and change through customer vision expansion and guide deals forward to compress decision cycles.</p>
<p>You will love understanding a product in depth and be passionate about communicating its value to Customers and System Integrators. You will always be looking for new opportunities and be asked to grow within existing accounts.</p>
<p>Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.</p>
<p>Your impact will be:</p>
<ul>
<li>Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners</li>
<li>Close both new accounts and existing accounts</li>
<li>Identify and close quick, small wins while managing longer, complex sales cycles</li>
<li>Exceed activity, pipeline, and revenue targets</li>
<li>Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce</li>
<li>Use a solution-based approach to selling and creating value for customers</li>
<li>Promote Databricks&#39; enterprise cloud data platform powered by Apache Spark™</li>
<li>Ensure 100% satisfaction among all customers</li>
<li>Prioritize opportunities and applying appropriate resources</li>
<li>Build a plan for success internally at Databricks and externally with your accounts</li>
</ul>
<p>We look for:</p>
<ul>
<li>You have previously worked in an early stage company and you know how to navigate and be successful</li>
<li>Field sales experience within big data, Cloud, or SaaS sales</li>
<li>Prior customer relationships with CIOs, program managers, and essential decision makers</li>
<li>Simply articulate intricate cloud technologies</li>
<li>7+ years experience exceeding sales quotas</li>
<li>Expertise with financial services institutions preferable</li>
<li>Success closing new accounts while working existing accounts</li>
<li>Understanding of Spark and big data preferable</li>
<li>Passion for cloud technologies</li>
<li>Bachelor&#39;s Degree</li>
</ul>
<p>Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base 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 anticipated 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.</p>
<p>For more information regarding which range your location is in visit our page here.</p>
<p>Zone 1 Pay Range $272,000-$374,000 USD Zone 2 Pay Range $272,000-$374,000 USD Zone 3 Pay Range $272,000-$374,000 USD Zone 4 Pay Range $272,000-$374,000 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>executive</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$272,000-$374,000 USD</Salaryrange>
      <Skills>Field sales experience within big data, Cloud, or SaaS sales, Prior customer relationships with CIOs, program managers, and essential decision makers, Simply articulate intricate cloud technologies, 7+ years experience exceeding sales quotas, Expertise with financial services institutions preferable, Understanding of 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 unified and democratized data, analytics, and AI platform.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8480190002</Applyto>
      <Location>New York City, New York; Remote - Washington D.C.</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>5bca90fa-192</externalid>
      <Title>Enterprise Account Executive, Financial Services</Title>
      <Description><![CDATA[<p>As an Enterprise Account Executive at Databricks, you will be a strategic sales professional experienced in selling into Financial Services accounts. You will know how to sell innovation and change through customer vision expansion and guide deals forward to compress decision cycles.</p>
<p>You will love understanding a product in depth and be passionate about communicating its value to Customers and System Integrators. You will always be looking for new opportunities and be asked to grow within existing accounts.</p>
<p>Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.</p>
<p>The impact you will have:</p>
<ul>
<li>Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners</li>
<li>Close both new accounts and existing accounts</li>
<li>Identify and close quick, small wins while managing longer, complex sales cycles</li>
<li>Exceed activity, pipeline, and revenue targets</li>
<li>Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce</li>
<li>Use a solution-based approach to selling and creating value for customers</li>
<li>Promote Databricks&#39; enterprise cloud data platform powered by Apache Spark</li>
<li>Ensure 100% satisfaction among all customers</li>
<li>Prioritize opportunities and applying appropriate resources</li>
<li>Build a plan for success internally at Databricks and externally with your accounts</li>
</ul>
<p>What we look for:</p>
<ul>
<li>You have previously worked in an early stage company and you know how to navigate and be successful</li>
<li>Field sales experience within big data, Cloud, or SaaS sales</li>
<li>Prior customer relationships with CIOs, program managers, and essential decision makers</li>
<li>Simply articulate intricate cloud technologies</li>
<li>6+ years experience exceeding sales quotas</li>
<li>Expertise with financial services institutions preferable</li>
<li>Success closing new accounts while working existing accounts</li>
<li>Understanding of Spark and big data preferable</li>
<li>Passion for cloud technologies</li>
<li>Bachelor&#39;s Degree</li>
</ul>
<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 base 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 anticipated 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.</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>$272,000-$374,000 USD</Salaryrange>
      <Skills>field sales experience, big data, Cloud, SaaS sales, prior customer relationships, CIOs, program managers, essential decision makers, simply articulate intricate cloud technologies, 6+ years experience exceeding sales quotas, expertise with financial services institutions, success closing new accounts while working existing accounts, understanding of Spark and big data, passion for cloud technologies, Apache Spark</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 and democratized data, analytics, and AI platform.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8367665002</Applyto>
      <Location>Boston, Massachusetts; New Jersey; New York City, New York</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>
  </jobs>
</source>