<p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">P-1495</span></p> <p><span style="font-size: 12pt;">At Databricks, we are passionate about enabling Data and AI teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. </span></p> <p><span style="font-size: 12pt;">Reporting to the Director, Product Operations, you will lead key projects, collaborate cross-functionally with stakeholders in Engineering, Data Science, HR, and Finance to ensure our systems deliver operational excellence while scaling with the company. This serves as the foundation for data-driven decision making that help drive growth for Databricks. Ideal candidates will have a strong background in business operations with a deep understanding of data management principles and practices.</span></p> <p><span style="font-size: 12pt;">In this role, you will be leading and supporting Serverless Networking platform projects where you will work across teams to drive launch of external customer-facing networking features and enhance the underlying networking infrastructure that supports our internal product teams</span></p> <p><span style="font-size: 12pt;"><strong>Key Responsibilities:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build reports and dashboards for monthly, quarterly, and executive-level reporting</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Establish coding, data management, and documentation standards and best practices</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>What We Look For: </strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">9+ years of experience in data and analytics, ideally at a SaaS company or large tech company</span></li> <li> <p data-path-to-node="9,1,0"><strong data-path-to-node="9,1,0" data-index-in-node="0">Educational Background:</strong> Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An <strong data-path-to-node="9,1,0" data-index-in-node="145">MBA</strong> is highly preferred.</p> </li> <li> <p data-path-to-node="9,2,0"><strong data-path-to-node="9,2,0" data-index-in-node="0">Systems Thinking:</strong> Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.</p> </li> <li> <p data-path-to-node="9,3,0"><strong data-path-to-node="9,3,0" data-index-in-node="0">Analytical Proficiency:</strong> Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.</p> </li> <li> <p data-path-to-node="9,4,0"><strong data-path-to-node="9,4,0" data-index-in-node="0">Stakeholder Management:</strong> Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.</p> </li> <li> <p data-path-to-node="9,5,0"><strong data-path-to-node="9,5,0" data-index-in-node="0">Strategic Communication:</strong> Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.</p> </li> <li style="font-size: 12pt;"> </li> </ul> <h3><span style="font-size: 12pt;"><strong>Nice to Have: </strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with Databricks tools, especially for extract/transform/load functions</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience working on Support Operations for SaaS based companies.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Operations, Consulting or Strategy experience</span></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">Local Pay Range</div><div class="pay-range"><span>$191,100</span><span class="divider">—</span><span>$262,800 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 click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</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>