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    <job>
      <externalid>3a2daa2d-9ff</externalid>
      <Title>Manager, Field Engineering</Title>
      <Description><![CDATA[<p>As a Manager, Field Engineering (Solutions Architects), you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts. Your experience partnering with the sales organisation will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together.</p>
<p>You will guide and get involved to enhance your team&#39;s effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in your customers&#39; companies.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Managing hiring, building the pre-sales team of Solutions Architects</li>
<li>Rapidly scaling the designated Field Engineering segment organisation without sacrificing quality</li>
<li>Building a collaborative culture within a rapid-growth team</li>
</ul>
<p>To embody and promote Databricks&#39; customer-obsessed, teamwork, and diverse culture</p>
<ul>
<li>Supporting increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months</li>
<li>Promoting a solution and value-based selling field-engineering organisation</li>
<li>Displaying an understanding of business needs and revenue potential for accounts in the assigned region</li>
<li>Building Databricks&#39; brand in partnership with the Marketing and Sales team</li>
</ul>
<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>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Big Data, Cloud, SaaS, Data Architecture, Data Engineering, Database technologies, Data Science, Digital Native companies/ecosystems, AI, Cloud software models</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. Over 10,000 organisations worldwide, including Comcast, Condé Nast, and Grammarly, rely on Databricks.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8316258002</Applyto>
      <Location>Melbourne, Australia</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>