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<source>
  <jobs>
    <job>
      <externalid>367c6561-993</externalid>
      <Title>Sales Strategy &amp; Operations, Sales Business Partner</Title>
      <Description><![CDATA[<p>This role is part of the EMEA Sales Strategy and Operations team, responsible for driving revenue and growth. You will partner with senior Sales leadership and the broader Sales team to drive the overall productivity and effectiveness of the segment.</p>
<p>Responsibilities include go-to-market design, resource planning, quota setting and management, sales process optimization and business analytics. You will also partner with key cross-functional stakeholders, including Finance &amp; Strategy, Functional Sales Operations, Global Systems &amp; Processes, and the Strategy Planning and Insights team to streamline and optimize our internal processes and deliverables (monthly business reviews, weekly forecasting calls, target setting and planning).</p>
<p>We are looking for a self-starter who is passionate about their work, detail oriented, analytical and has demonstrated success dealing with ambiguity in a high-growth environment, and solving problems with limited oversight.</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>go-to-market design, resource planning, quota setting and management, sales process optimization, business analytics, SQL, Excel, stakeholder management, communication and influencing skills, MBA or higher degree in an analytical field, proficiency in SQL or the appetite to learn, proficiency in BI visualization tools (e.g. Tableau)</Skills>
      <Category>Sales</Category>
      <Industry>Technology</Industry>
      <Employername>Stripe</Employername>
      <Employerlogo>https://logos.yubhub.co/stripe.com.png</Employerlogo>
      <Employerdescription>Stripe is a financial infrastructure platform for businesses, increasing the GDP of the internet.</Employerdescription>
      <Employerwebsite>https://stripe.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/stripe/jobs/7790430</Applyto>
      <Location>Dublin</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ed16888c-52f</externalid>
      <Title>Senior Product Operation Analyst</Title>
      <Description><![CDATA[<p>At Databricks, we are seeking a Senior Product Operation Analyst to lead key projects and collaborate cross-functionally with stakeholders in Engineering, Data Science, HR, and Finance to ensure our systems deliver operational excellence while scaling with the company.</p>
<p>Reporting to the Director, Product Operations, you will lead key projects, orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, establish coding, data management, and documentation standards and best practices, and act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.</p>
<p>Key Responsibilities:</p>
<ul>
<li>Build reports and dashboards for monthly, quarterly, and executive-level reporting</li>
<li>Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations</li>
<li>Establish coding, data management, and documentation standards and best practices</li>
<li>Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows</li>
<li>Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.</li>
</ul>
<ul>
<li>Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.</li>
</ul>
<ul>
<li>Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.</li>
</ul>
<ul>
<li>Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.</li>
</ul>
<p>What We Look For:</p>
<ul>
<li>5+ years of experience in data and analytics, ideally at a SaaS company or large tech company</li>
<li>Comfort navigating large datasets using SQL-based tools and delivering dashboards and BI visualizations</li>
<li>Ability to translate complex data into actionable insights, the communicate and action those insights</li>
<li>Proven track record driving cross-functional initiatives and collaborating across different organizations such as Product, Engineering, Data Science, GTM, and Support teams</li>
<li>Excellent communication and stakeholder management skills, with an ability to influence without authority</li>
<li>Strong process-orientation and systems thinker with bias for action</li>
<li>Data-driven decision-making</li>
<li>Experience working in a high-growth, fast-paced environment and managing multiple priorities</li>
</ul>
<p>Nice to Have:</p>
<ul>
<li>Familiarity with Databricks tools, especially for extract/transform/load functions</li>
<li>Experience working on Support Operations for SaaS based companies.</li>
<li>Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows</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 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 anticipates 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>Local Pay Range $130,400-$182,600 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>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$130,400-$182,600 USD</Salaryrange>
      <Skills>data and analytics, SQL-based tools, dashboards and BI visualizations, cross-functional initiatives, communication and stakeholder management, process-orientation and systems thinking, data-driven decision-making, Databricks tools, extract/transform/load functions, Salesforce, Zendesk, Jira, Looker/Tableau, operational workflows</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 and AI infrastructure platform for customers to use deep data insights to improve their business.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8298108002</Applyto>
      <Location>Mountain View, California</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>