Strategic AI/BI Account Executive
DatabricksSan Francisco, CaliforniaPosted 3 March 2026
Job Description
<p data-pm-slice="1 1 []">SLSQ327R187</p>
<p data-renderer-start-pos="1648">While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.</p>
<ul>
<li data-renderer-start-pos="1800">Remote - San Francisco</li>
<li data-renderer-start-pos="1800">Remote - New York City </li>
</ul>
<p>Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.</p>
<p>Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.</p>
<p data-renderer-start-pos="2006"><strong data-renderer-mark="true">The impact you will have: </strong></p>
<ul>
<li>Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities</li>
<li>Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies</li>
<li>Displace or expand legacy BI platforms with AI-powered, governed analytics solutions</li>
<li>Lead conversations around semantic governance, self-service analytics, and natural language data access</li>
<li>Drive proof-of-value engagements and scale enterprise-wide adoption</li>
<li>Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)</li>
<li>Enable field teams and serve as a subject matter expert on modern analytics architectures</li>
</ul>
<p data-renderer-start-pos="2367"><strong data-renderer-mark="true">What we look for:</strong></p>
<ul>
<li>Enterprise sales experience in BI, analytics, data platforms, or AI/ML</li>
<li>Strong understanding of modern analytics architectures and data governance</li>
<li>Ability to sell to both technical and business stakeholders</li>
<li>Executive presence and experience navigating complex buying cycles</li>
<li>Passion for AI and the impact of GenAI on enterprise analytics</li>
<li>Experience operating in a specialist or overlay sales model</li>
<li>Ability to translate technical capabilities into clear business value</li>
<li data-renderer-start-pos="2386">7+ years of Enterprise Sales experience, exceeding quotas in larger accounts</li>
<li data-renderer-start-pos="2386">Bachelors Degree </li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot</li>
<li>Familiarity with semantic layers, metrics stores, or governed data models</li>
<li>Understanding of lakehouse architectures and cloud data platforms</li>
<li>Exposure to GenAI, natural language interfaces, or conversational applications</li>
<li>Consulting or solution design experience in customer-facing roles</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">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 exp ... (truncated, view full listing at source)
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