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      <externalid>d8bd5ec3-a1a</externalid>
      <Title>Sr. Engagement Manager</Title>
      <Description><![CDATA[<p>Job Title: Sr. Engagement Manager</p>
<p>We are seeking a highly experienced Sr. Engagement Manager to join our team in Sydney. As a Sr. Engagement Manager, you will be responsible for helping customers accelerate value through the adoption of the Databricks platform.</p>
<p>Key Responsibilities:</p>
<ul>
<li>Collaborate with sales counterparts and engage early in the sales process to understand customer needs and exceed expectations in delivery and developing valued solutions</li>
</ul>
<ul>
<li>Identify opportunities for new services by understanding and addressing potential new use-cases and articulating the business value in upsell or extension of services</li>
</ul>
<ul>
<li>Develop commercial models including leveraging Databricks and Partner investment vehicles to help address customer budgetary constraints for success</li>
</ul>
<ul>
<li>Perform as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training KPIs</li>
</ul>
<ul>
<li>Articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer</li>
</ul>
<ul>
<li>Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits</li>
</ul>
<ul>
<li>Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations</li>
</ul>
<p>What We Look For:</p>
<ul>
<li>Data and AI domain knowledge and experience working with customers to realise business value through to production implementations</li>
</ul>
<ul>
<li>Proven experience in senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution</li>
</ul>
<ul>
<li>Excellent customer-facing skills and the ability to communicate with and develop strong relationships at all levels including with senior executives both internally and externally</li>
</ul>
<ul>
<li>Consistent track record of identifying customer needs and successfully implementing solutions</li>
</ul>
<ul>
<li>Strong leadership experience, the ability to enforce good project governance and drive delivery excellence</li>
</ul>
<ul>
<li>Strong service delivery and program management skills with the ability to synthesise customer success outcomes into well-structured program plans that deliver against such outcomes</li>
</ul>
<ul>
<li>Proven experience in estimating effort and scope for services</li>
</ul>
<ul>
<li>Proven experience in meeting and achieving KPI and targets including CSAT, Bookings and Revenue</li>
</ul>
<p>Benefits:</p>
<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.</p>
<p>Our Commitment to Diversity and Inclusion:</p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</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>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Data and AI domain knowledge, Experience working with customers to realise business value, Senior customer-facing roles, Excellent customer-facing skills, Strong leadership experience</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, 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/8469396002</Applyto>
      <Location>Sydney, Australia</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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