INTERNSHIP DETAILS
MBA Intern - Product Operations
CompanyDatabricks
LocationSan Francisco
Work ModeOn Site
PostedFebruary 10, 2026

Internship Information
Core Responsibilities
As a Product Operations intern, you will lead the operational rollout of new features and synthesize insights from customer feedback to provide a clear view of market needs. You will also build and maintain dashboards to track product adoption and identify friction points in information flow.
Internship Type
full time
Company Size
14470
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
About the Role
<p data-pm-slice="1 1 []"><strong>RDQ227R1170</strong></p>
<p>At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.</p>
<p>Join our Product Operations team to ensure our innovations successfully reach our customers and deliver maximum value. As a Product Operations intern, you will sit at the intersection of Product Management, Engineering, and Field teams (Sales, Marketing, and Customer Success). Your mission is to turn product capabilities into market success by driving operational readiness and building data-led feedback loops.</p>
<p><strong>The Impact You’ll Make:</strong></p>
<ul>
<li><strong>GTM Readiness & Execution:</strong> Partner with PMs, ENG, and Field teams to lead the operational rollout of new features, ensuring the organization is equipped with the data and resources needed for a successful launch.</li>
<li><strong>Customer Feedback Loops:</strong> Synthesize insights from customer feedback, product usage metrics, and partner inputs to provide Engineering and PM with a clear, data-backed view of market needs.</li>
<li><strong>Performance Insights:</strong> Build and maintain the dashboards that track product adoption and health, leveraging SQL to provide the "ground truth" on how features are performing in the wild.</li>
<li><strong>Operational Efficiency:</strong> Identify friction points in how information flows from Product to the Field and implement lean processes to keep teams aligned during rapid launch cycles.</li>
</ul>
<p><strong>Who You Are:</strong></p>
<ul>
<li>Currently enrolled in a top-tier MBA program with 3–5 years of professional experience (e.g., Consulting, BizOps, or Strategy) and a passion for the "last mile" of product delivery.</li>
<li>Advanced SQL skills are required. You are a data native who uses queries to find the "why" behind product trends and adoption hurdles.</li>
<li>You are willing to get hands-on. You don't just identify a gap in a launch plan; you build the checklist or dashboard to close it.</li>
<li>You can build rapport with technical PMs and Engineering leads while speaking the language of our Sales and Customer Success teams.</li>
<li>You understand that "strategy" only matters if it can be executed. You focus on making programs work in the real world with limited guidance.</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 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. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p> </p></div><div class="title">SF Bay Area Hourly Rate</div><div class="pay-range"><span>$40</span><span class="divider">—</span><span>$40 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&source=gmail&ust=1700237575733000&usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>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 visit <a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>. <br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>
Key Skills
Product ManagementEngineeringSalesMarketingCustomer SuccessSQLData AnalysisOperational ReadinessFeedback LoopsPerformance InsightsDashboardsLean ProcessesConsultingBizOpsStrategyData Insights
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